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https://w.atwiki.jp/pocketplanes/pages/284.html
YINCHUAN [銀川] YINCHUAN は ASIA に位置する人口約 1.30 millionの都市。 YINCHUAN Airportは Class 1 の空港。 “YINCHUAN DEALS IN ANUMAL PRODUCTS FROM THE HERDS TENDED BY NOMADS IN THE SURROUNDING GRASSLANDS.” OPEN(coins) 7500coins 宣伝(coins) 17500coins レベル1 レベル2 レベル3 アップグレードコスト(coins) - 15000 22500 LAYOVERS 5 10 15 CLOSE時の払戻(coins) 3750 11250 22500 空港 一覧 AFRICA [アフリカ] AL FASHIR・ALGIERS・BAMAKO・BEIRA・BENGHAZI・CAIRO・CAPE TOWN・CASABLANCA・DAKAR・DJIBOUTI・DURBAN・HARARE・IN SALAH・JOHANNESBURG・JUBA・KADUNA・KAMPALA・KANANGA・KHARTOUM・KINSHASA・KISANGANI・LAGOS・LILONGWE・LIVINGSTONE・LOBITO・MAHAJANGA・MOGADISHU・MOMBASA・MONROVIA・NAIROBI・PORT ELIZABETH・PORT SUDAN・TIMBUKTU・TRIPOLI・WINDHOEK・ZANZIBAR ASIA [アジア] ADEN・AHMEDABAD・ANADYR・BAGHDAD・BANGALORE・BANGKOK・BEIJING・BUTWAL・CEBU・CHENGDU・DELHI・DHAKA・GUANGZHOU・HANOI・HARBIN・HONG KONG・HYDERABAD・ISTANBUL・JAKARTA・JERUSALEM・KABUL・KANDAHAR・KARACHI・KOLKATA・KUCHING・KUWAIT CITY・LHASA・MAGADAN・MANILA・MUMBAI・MUSCAT・NAGASAKI・NANPING・NORILSK・NOVOSIBIRSK・OSAKA・PADANG・PALU・PEVEK・PORT MORESBY・RANGOON・RIYADH・SAPPORO・SENDAI・SEOUL・SHANGHAI・SHENYANG・SINGAPORE・TAIPEI・TEHRAN・TIKSI・TOKYO・ULAN BATOR・URUMQI・VLADIVOSTOK・XI AN・XINING・YAKUTSK・YINCHUAN EUROPE [ヨーロッパ] AMSTERDAM・ATHENS・BARCELONA・BEIRUT・BELFAST・BELGRADE・BERGEN・BERLIN・BERN・BORDEAUX・BRUSSELS・BUCHAREST・COPENHAGEN・CORDOBA(SPAIN)・GLASGOW・HAMMERFEST・HELSINKI・KIEV・LISBON・LONDON・LULEA・LYON・MADRID・MANCHESTER・MINSK・MOSCOW・MUNICH・MURMANSK・NAPLES・OSLO・OULU・PARIS・PERM・PRAGUE・REYKJAVIK・RIGA・ROME・ST.PETERSBURG・STOCKHOLM・TBILISI・TRONDHEIM・VENICE・VIENNA・VOLGOGRAD・WARSAW NORTH AMERICA [北アメリカ] ANCHORAGE・ATLANTA・BARROW・BISMARCK・BOSTON・CALGARY・CANCUN・CHARLESTON・CHICAGO・CHIHUAHUA・CINCINNATI・DALLAS・DENVER・DETROIT・EDMONTON・FAIRBANKS・GOOSE BAY・GUATEMALA・HAVANA・HILO・HONOLULU・HOUSTON・INUVIK・IQALUIT・JUNEAU・KANSAS CITY・KETCHIKAN・LAS VEGAS・LOS ANGELES・MEXICO CITY・MIAMI・MINNEAPOLIS・MONTERREY・MONTREAL・NEW ORLEANS・NEW YORK・NOME・NUUK・OAXACA・ORLANDO・OTTAWA・PANAMA CITY・PHILADELPHIA・PHOENIX・PORTLAND・QUEBEC・SALT LAKE CITY・SAN DIEGO・SAN FRANCISCO・SAN JOSE・SANTO DOMINGO・SASKATOON・SEATTLE・SPOKANE・ST.LOUIS・THUNDER BAY・TORONTO・VANCOUVER・WASHINGTON DC・WHITEHORSE・WINNIPEG・YELLOWKNIFE SOUTH AMERICA [南アメリカ] ARAGUAINA・ASUNCION・BARILOCHE・BELEM・BOGOTA・BRASILIA・BUENOS AIRES・CAMPO GRANDE・CARACAS・CORDOBA(ARGENTINA)・CUIABA・CUZCO・EASTER ISLAND・FORTALEZA・GEORGETOWN・IQUITOS・LA PAZ・LIMA・MANAUS・PORTO VELHO・PUNTA ARENAS・QUITO・RECIFE・RIO DE JANEIRO・SALVADOR・SANTIAGO・SAO PAULO・TERESINA OCEANIA [オセアニア] ADELAIDE・ALICE SPRINGS・AUCKLAND・BRISBANE・BROKEN HILL・BROOME・CAIRNS・CHRISTCHURCH・DARWIN・GERALDTON・HOBART・KALGOORLIE・KATHERINE・MELBOURNE・MOUNT ISA・NEWMAN・PERTH・PORT HEDLAND・ROCKHAMPTON・SYDNEY・WELLINGTON
https://w.atwiki.jp/i2p2/pages/24.html
概要 I2PではBitTorrentを使うことができる。 注意点 ただしこれはI2Pネットワーク内でだけでしか使えないので、注意。 I2PフォーラムのFAQより転載翻訳 http //forum.i2p/viewtopic.php?t=2068 Can I use a non-I2P Bittorrent client with I2P acting as a proxy to connect to peers outside I2P? (一般のtorrentクライアントでI2Pを串として利用し、通常のトレントに接続することは出来ますか?) No.(いいえ) Can I connect to non-I2P torrents or peers from within I2P? (一般のtorrentネットワークにI2P経由で接続出来ますか?) No.(いいえ) Can I connect to I2P torrents or peers from outside I2P? (逆に一般のtorrentからI2P内のトレントネットワークに接続出来ますか?) No.(いいえ) Do any I2P Bittorrent clients support DHT within I2P? (I2PのtorerntクライアントはDHTをサポートしていますか?) No.(いいえ) VuzeのI2Pに関する説明文より転載 http //wiki.vuze.com/w/I2P_HowTo I2P does not have “out-proxies”. This means that it is not possible to connect anonymously to clients outside of the I2P network. Therefore, to use I2P, all participants (BT tracker and BT clients) must be explicitly using I2P. (I2Pは外部プロクシ機能を持っていない したがって一般のtorrentクライアントにI2P経由で接続することは出来ない I2Pが機能する為にはあらゆる参加者(全てのユーザーとトラッカー)がI2Pを使用していることが前提となる) I2P対応クライアント I2PSnark : I2Pに最初から付属 Vuze : 旧Azureus、pluginによって対応、plugin開発は初期段階で止まっている I2P-BT : 本家BitTorrentクライアント3.4.2がベース、開発はほぼ止まっている I2PRufus : 数年前に開発終了 Robert : I2PRufusからの派生、現在最も開発が活発らしい(でも最新版は6ヶ月前 シードが遅すぎてクライアントが落ちてこないので動作未確認・公式サイト(I2P経由のみ ※参考 http //en.wikipedia.org/wiki/Robert_%28P2P_Software%29 iMule : eMuleのI2P版 ・公式サイト(I2P経由のみ ・公式サイト Nachtblitz : 更にiMuleの派生版。ノードが見つからないため動作未確認 ・公式サイト(I2P経由のみ I2Phex : gnutellaのI2P版 iMule EMuleから派生したI2P専用のクライアント。 日本語化 http //awabi.2ch.net/test/read.cgi/download/1349083058/147
https://w.atwiki.jp/todo314/pages/20.html
お役立ち情報 スケジュール https //confsearch.ethz.ch/?query=STOC+FOCS+SODA+CCC+ICALP+ITCS+LICS+IPCO+ISSAC+SoCG+PODS+COLT+EC+ESA+STACS+APPROX+RANDOM+MFCS+SWAT+WADS+ISAAC+FUN http //www.conferencelist.info/upcoming.html http //community.dur.ac.uk/tom.friedetzky/conf.html http //www.lix.polytechnique.fr/~hermann/conf.html http //csconf.net/deadlines 国際会議・雑誌 MSAR field ratings (2014) http //www.conferenceranks.com/visualization/msar2014.html Google scholar Top publications https //scholar.google.com/citations?view_op=top_venues vq=eng_theoreticalcomputerscience Ranking of CS Departments based on the Number of Papers in Theoretical Computer Science https //projects.csail.mit.edu/dnd/ranking/ Computer Science Conference Rankings https //webdocs.cs.ualberta.ca/~zaiane/htmldocs/ConfRanking.html Acceptance ratio of some Theoretical Computer Science Conferences https //www.lamsade.dauphine.fr/~sikora/ratio/confs.php ML-DM-AI Papers by Researchers in Japan https //knuu.github.io/pages/ml-dm-ai_jp_papers.html Conference Ranks http //www.conferenceranks.com/ Acceptance rates for the top-tier AI-related conferences https //github.com/lixin4ever/Conference-Acceptance-Rate https //perso.crans.org/genest/conf.html https //www.aminer.org/ranks/conf Computer Science Conference Rankings https //dsl.cds.iisc.ac.in/publications/CS_ConfRank.htm Journals (etc.) in Discrete Mathematics and related fields http //www.math.iit.edu/~kaul/Journals.html List of TCS conferences and workshops https //cstheory.stackexchange.com/questions/7900/list-of-tcs-conferences-and-workshops GII-GRIN-SCIE (GGS) Conference Rating http //www.consorzio-cini.it/gii-grin-scie-rating.html CORE Computer Science Journal Rankings http //cic.tju.edu.cn/faculty/zhileiliu/doc/COREComputerScienceJournalRankings.html Computer Science Conference Rank https //www.camille-kurtz.com/index_fichiers/html/CSRank.html CORE Conference Portal http //portal.core.edu.au/conf-ranks/ CORE Journal Portal http //portal.core.edu.au/jnl-ranks/ 中国计算机学会推荐 https //www.ccf.org.cn/Academic_Evaluation/By_category/ 清华大学计算机学科群 推荐学术会议和期刊列表 https //numbda.cs.tsinghua.edu.cn/~yuwj/TH-CPL.pdf 清华大学交叉信息研究院 重要国际学术会议及核心期刊 https //iiis.tsinghua.edu.cn/uploadfile/cs_conference_list.pdf 頂尖國際會議表列 https //www.csie.ncu.edu.tw/file/98ef5b203937077d24098c335abcf0ca 计算机学术期刊排名 https //sites.google.com/site/luzhaoshomepage/Home/journal-list/ji-suan-ji-xue-shu-qi-kan-pai-ming-computer-science-journal-rankings まとめサイト Best Paper Awards in Computer Science (since 1996) http //jeffhuang.com/best_paper_awards.html データベース勉強会Wiki http //www.kde.cs.tsukuba.ac.jp/dbreading/ Statistics of acceptance rate for the main AI conferences https //github.com/lixin4ever/Conference-Acceptance-Rate Hot Topics on Big Data Algorithms, Analytics and Applications https //www.cse.ust.hk/~leichen/courses/comp6311D/ http //akoide.hatenablog.com/ http //www.orgnet.com/hijackers.html http //11011110.livejournal.com/260838.html http //www.ipsj.or.jp/journal/info/75NC.html 専門知識の仕入れ方 by 吉田さん http //research.preferred.jp/2011/09/how-to-learn/ 岩間研の輪講 http //www.lab2.kuis.kyoto-u.ac.jp/fswikiout/wiki.cgi?action=LIST Laplacian Linear Equations, Graph Sparsification, Local Clustering, Low-Stretch Trees, etc. https //sites.google.com/a/yale.edu/laplacian/ Combinatorial Reconfiguration Wiki http //reconf.wikidot.com/ Connected Papers https //www.connectedpapers.com/ 英語論文の査読表現集 https //staff.aist.go.jp/a.ohta/japanese/study/Review_ex_top.htm Computational Intractability A Guide to Algorithmic Lower Bounds https //hardness.mit.edu/ What Books Should Everyone Read? https //cstheory.stackexchange.com/questions/3253/what-books-should-everyone-read Mathematical Writing by. Donald E. Knuth, Tracy Larrabee, and Paul M. Roberts https //jmlr.csail.mit.edu/reviewing-papers/knuth_mathematical_writing.pdf 講義 PCP and hardness of approximation 解説とか On Dinur s Proof of the PCP Theorem https //www.ams.org/journals/bull/2007-44-01/S0273-0979-06-01143-8/S0273-0979-06-01143-8.pdf クラスNPの新しい特徴づけ https //ipsj.ixsq.nii.ac.jp/ej/index.php?action=pages_view_main active_action=repository_action_common_download item_id=4159 item_no=1 attribute_id=1 file_no=1 page_id=13 block_id=8 https //cstheory.stackexchange.com/questions/45/what-are-good-references-to-understanding-the-proof-of-the-pcp-theorem https //www.cs.umd.edu/~gasarch/TOPICS/pcp/pcp.html https //sites.google.com/view/pcpfest/program Approximability of Optimization Problems (1999?, Madhu Sudan) http //people.csail.mit.edu/madhu/FT99/course.html ( low-degree test ) 😋CSE 532 Computational Complexity Essentials (2004, Paul Beame) https //courses.cs.washington.edu/courses/cse532/04sp/ ( low-degree test ) 😋CSE 533 The PCP Theorem and Hardness of Approximation (2005, Venkatesan Guruswami Ryan O Donnell) https //courses.cs.washington.edu/courses/cse533/05au/ (Dinur s proof) CS 294 PCP and Hardness of Approximation (2006, Luca Trevisan) https //cs.stanford.edu/people/trevisan/pcp/ (講義録少) 😋Course 236603 Probabilistically Checkable Proofs (2007, Eli Ben-Sasson) https //eli.net.technion.ac.il/files/2013/03/notes_2007_Fall.pdf (PCPP; robust PCP) CS359 Hardness of Approximation (Tim Roughgarden, 2007) https //timroughgarden.org/w07b/w07b.html (講義録少) 😋15-854(B) Advanced Approximation Algorithms (2008, Anupam Gupta Ryan O Donnell) https //www.cs.cmu.edu/~anupamg/adv-approx/ 😋6.895 Probabilistically Checkable Proofs and Hardness of Approximation (2010, Dana Moshkovitz) https //www.cs.utexas.edu/~danama/courses/pcp-mit/index.html ( low-degree test ) Prahladh Harsha CMSC 39600 PCPs, codes and inapproximability (2007, Prahladh Harsha) https //www.tifr.res.in/~prahladh/teaching/07autumn/ (講義録少) 😋Limits of approximation algorithms PCPs and Unique Games (2009―10, Prahladh Harsha) https //www.tifr.res.in/~prahladh/teaching/2009-10/limits/ ( low-degree test ) PCPs and Limits of approximation algorithms (2014―15, Prahladh Harsha) https //www.tifr.res.in/~prahladh/teaching/2014-15/limits/ (講義録少) Approximation Algorithms and Hardness of Approximation (2013, Ola Svensson Alantha Newman) https //theory.epfl.ch/osven/courses/Approx13/ (Dinur s proof) 😋CS294 Probabilistically Checkable and Interactive Proof Systems (2019, Alessandro Chiesa) http //people.eecs.berkeley.edu/~alexch/classes/CS294-S2019.html ( 講義動画神 , low-degree test) 15-859T A Theorist s Toolkit (2013, Ryan O Donnell) http //www.cs.cmu.edu/~odonnell/toolkit13/ Algorithmic Lower Bounds Fun with Hardness Proofs (2014/2019, Erik Demaine) https //ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-890-algorithmic-lower-bounds-fun-with-hardness-proofs-fall-2014/index.htm http //courses.csail.mit.edu/6.892/spring19/lectures/ CS395T Pseudorandomness (2017, David Zuckerman) https //www.cs.utexas.edu/~diz/395T/17/ Pseudorandomness (Salil Vadhan, monograph) https //people.seas.harvard.edu/~salil/pseudorandomness/ Expander graphs Expander Graphs and their applications (2020, Irit Dinur) https //www.wisdom.weizmann.ac.il/~dinuri/courses/20-expanders/index.htm Expander Graphs in Computer Science (2010, He Sun) https //resources.mpi-inf.mpg.de/departments/d1/teaching/ws10/EG/WS10.html Course 67659 Expander graphs and their applications (2002, Nati Linial Avi Wigderson) https //www.boazbarak.org/expandercourse/ Counting and Sampling Markov Chain Monte Carlo Methods (2006, Eric Vigoda) https //www.cc.gatech.edu/~vigoda/MCMC_Course/ CSE 599 Counting and Sampling (2017, Shayan Oveis Gharan) https //homes.cs.washington.edu/~shayan/courses/sampling/ CS 294 Markov Chain Monte Carlo Foundations Applications, (Alistair Sinclair) https //people.eecs.berkeley.edu/~sinclair/cs294/f09.html CS294-180 Partition Functions Algorithms Complexity (2020, Alistair Sinclair) https //people.eecs.berkeley.edu/~sinclair/cs294/f20.html CSE 599 Polynomial Paradigm in Algorithm Design (2020, Shayan Oveis Gharan) https //homes.cs.washington.edu/~shayan/courses/polynomials/ Math 270 The Geometry of Polynomials in Algorithms, Combinatorics, and Probability (2015, Nikhil Srivastava) https //math.berkeley.edu/~nikhil/courses/270/ Bridging Continuous and Discrete Optimization (2017) https //simons.berkeley.edu/programs/optimization2017 Geometry of Polynomials https //simons.berkeley.edu/programs/geometry2019 Counting and Sampling (2020, EPFL) https //www.epfl.ch/schools/ic/tcs/counting-and-sampling-2020/ Markov Chains and Counting (Alan Frieze, book) https //www.math.cmu.edu/~af1p/Teaching/MCC17/MC.html Others Parameterized Complexity (2019, Saket Saurabh) https //sites.google.com/view/sakethome/teaching/parameterized-complexity Proofs, beliefs, and algorithms through the lens of sum-of-squares https //www.sumofsquares.org/public/index.html Stat260/CompSci294 Topics in Spectral Graph Methods (Michael Mahoney) https //www.stat.berkeley.edu/~mmahoney/s15-stat260-cs294/ Topics in Theoretical Computer Science An Algorithmist s Toolkit (Jonathan Kelner) https //ocw.mit.edu/courses/mathematics/18-409-topics-in-theoretical-computer-science-an-algorithmists-toolkit-fall-2009/ 6.889 Algorithms for Planar Graphs and Beyond (Fall 2011) http //courses.csail.mit.edu/6.889/fall11/lectures/ 15-855 Graduate Computational Complexity Theory (2017, Ryan O Donnell) http //www.cs.cmu.edu/~odonnell/complexity17/ その他 Journals with quick reviewing - Theoretical Computer Science Stack Exchange https //cstheory.stackexchange.com/questions/8335/journals-with-quick-reviewing Backlog of MathematicsResearch Journals https //www.ams.org/journals/notices/201810/rnoti-p1289.pdf Online TCS Seminars https //cstheory.stackexchange.com/questions/46930/online-tcs-seminars Algorithms Randomization Computation https //sites.google.com/di.uniroma1.it/arc/home Felix Reidl https //tcs.rwth-aachen.de/~reidl/ https //rjlipton.wordpress.com/2014/12/21/modulating-the-permanent/ https //barthesi.gricad-pages.univ-grenoble-alpes.fr/personal-website/dpps/2018-26-11-dpps_intro/ Thirty-Three Miniatures Mathematical and Algorithmic Applications of Linear Algebra https //kam.mff.cuni.cz/~matousek/stml-53-matousek-1.pdf Research in Progress https //researchinprogress.tumblr.com/ 情報拡散 投票者モデル A model for spatial conflict Biometrika 1973 Ergodic theorems for weakly interacting infinite systems and the voter model Annals of Probability 1975. Influence Maximization 関連 バイラルマーケティング Mining the Network Value of Customers Mining Knowledge-Sharing Sites for Viral Marketing 元ネタ Maximizing the Spread of Influence through a Social Network 理論的結果 On the Approximability of Influence in Social Networks 影響最大化/影響力推定の爆速アルゴリズム シミュレーション CELF++ Optimizing the Greedy Algorithm for Influence Maximization in Social ... WWW 2011 Efficient Influence Maximization in Social Networks KDD 2009 StaticGreedy Solving the Scalability-Accuracy Dilemma in Influence Maximization CIKM 2013 UBLF An Upper Bound Based Approach to Discover Influential Nodes in Social ... ICDM 2013 An Upper Bound based Greedy Algorithm for Mining Top-k Influential Nodes in ... WWW 2014 Extracting Influential Nodes for Information Diffusion on a Social Network AAAI 2007 IMGPU GPU-Accelerated Influence Maximization in Large-Scale Social Networks TPDS 2014 Influence Maximization in Big Networks An Incremental Algorithm for ... IJCAI 2015 Influence at Scale Distributed Computation of Complex Contagion in Networks KDD 2015 Outward Influence and Cascade Size Estimation in Billion-scale Networks SIGMETRICS 2017 RIS Maximizing Social Influence in Nearly Optimal Time SODA 2014 Influence Maximization Near-Optimal Time Complexity Meets Practical Efficiency SIGMOD 2014 Social Influence Spectrum with Guarantees Computing More in Less Time CSoNet 2015 Influence Maximization in Near-Linear Time A Martingale Approach SIGMOD 2015 Cost-aware Targeted Viral Marketing in Billion-scale Networks INFOCOM 2016 Stop-and-Stare Optimal Sampling Algorithms for Viral Marketing in ... SIGMOD 2016 Revisiting the Stop-and-Stare Algorithms for Influence Maximization PVLDB 2017 Why approximate when you can get the exact? Optimal Targeted Viral Marketing ... INFOCOM 2017 Importance Sketching of Influence Dynamics in Billion-scale Networks ICDM 2017 ヒューリスティクス Scalable Influence Maximization for Prevalent Viral Marketing in Large-Scale ... KDD 2010 Scalable Influence Maximization in Social Networks under the Linear ... ICDM 2010 IRIE Scalable and Robust Influence Maximization in Social Networks ICDM 2012 Simulated Annealing Based Influence Maximization in Social Networks AAAI 2011 On Approximation of Real-World Influence Spread PKDD 2012 Scalable and Parallelizable Processing of Influence Maximization for ... ICDE 2013 Simpath An Efficient Algorithm for Influence Maximization under the Linear ... ICDM 2011 Probabilistic Solutions of Influence Propagation on Networks CIKM 2013 Community-based Greedy Algorithm for Mining Top-K Influential Nodes in ... KDD 2010 Efficient algorithms for influence maximization in social networks KAIS 2012 CINEMA Conformity-Aware Greedy Algorithm for Influence Maximization in ... EDBT 2013 A Novel and Model Independent Approach for Efficient Influence Maximization ... WISE 2013 Influence Spread in Large-Scale Social Networks - A Belief Propagation Approach ECML PKDD 2012 IMRank Influence Maximization via Finding Self-Consistent Ranking SIGIR 2014 ASIM A Scalable Algorithm for Influence Maximization under the Independent ... WWW 2015 Holistic Influence Maximization Combining Scalability and Efficiency with ... SIGMOD 2016 影響拡散高速計算 Efficient influence spread estimation for influence maximization under the ... Exact Computation of Influence Spread by Binary Decision Diagrams WWW 2017 Computing and maximizing influence in linear threshold and triggering models NIPS 2016 その他 Influence Maximization in Undirected Networks SODA 2014 Debunking the Myths of Influence Maximization An In-Depth Benchmarking Study SIGMOD 2017 謎 Maximizing the Spread of Cascades Using Network Design UAI 2010 The complexity of influence maximization problem in the deterministic linear ... JCO 2012 目的関数が違う Personalized Influence Maximization on Social Networks Stability of Influence Maximization Minimizing Seed Set Selection with Probabilistic Coverage Guarantee in a ... On minimizing budget and time in influence propagation over social networks Minimizing Seed Set for Viral Marketing Online Influence Maximization Minimum-Cost Information Dissemination in Social Networks Robust Influence Maximization (He-Kempe) Robust Influence Maximization (Chen+) Robust Influence Maximization (Lowalekar+) Spheres of Influence for More Effective Viral Marketing 変種設定 インターネット広告 Real-time Targeted Influence Maximization for Online Advertisements VLDB 2015 Viral Marketing Meets Social Advertising Ad Allocation with Minimum Regret VLDB 2015 Revenue Maximization in Incentivized Social Advertising VLDB 2017 疎化・粗大化 Sparsification of Influence Networks Fast Influence-based Coarsening for Large Networks 予測 Prediction of Information Diffusion Probabilities for Independent Cascade Model Learning Continuous-Time Information Diffusion Model for Social Behavioral ... Learning Influence Probabilities In Social Networks Learning Stochastic Models of Information Flow Predicting Information Diffusion on Social Networks with Partial Knowledge Latent Feature Independent Cascade Model for Social Propagation Learning Diffusion Probability based on Node Attributes in Social Networks Topic-aware Social Influence Propagation Models Uncovering the Temporal Dynamics of Diffusion Networks モデリング 時間 A Data-Based Approach to Social Influence Maximization Time-Critical Influence Maximization in Social Networks with Time-Delayed ... Time Constrained Influence Maximization in Social Networks Uncovering the Temporal Dynamics of Diffusion Networks On Influential Node Discovery in Dynamic Social Networks Influence Maximization with Novelty Decay in Social Networks トピック・カテゴリ Topic-aware Social Influence Propagation Models Diversified Social Influence Maximization モデルは同じ,目的関数が違う トピック・カテゴリのアルゴリズム Online Topic-aware Influence Maximization Queries EDBT 2014 Real-time Topic-aware Influence Maximization Using Preprocessing CSoNet 2015 Online Topic-Aware Influence Maximization VLDB 2015 負/競合 Competitive Influence Maximization in Social Networks WINE 2007 Word of Mouth Rumor Dissemination in Social Networks SIROCCO 2008 Threshold Models for Competitive Influence in Social Networks WINE 2010 Influence Maximization in Social Networks When Negative Opinions May Emerge ... Influence Blocking Maximization in Social Networks under the Competitive ... Maximizing Influence in a Competitive Social Network A Follower s Perspective ICEC 2007 New Models for Competitive Contagion Opinion maximization in social networks 意見 Maximizing Influence in an Ising Network A Mean-Field Optimal Solution Isingモデル 投票者モデル オリジナル Ergodic Theorems for Weakly Interacting Infinite Systems and the Voter Model A Model for Spatial Conflict A Note on Maximizing the Spread of Influence in Social Networks WINE 2007 Influence Diffusion Dynamics and Influence Maximization in Social Networks ... WSDM 2013 Maximizing the Long-term Integral Influence in Social Networks Under the ... WWW 2014 適応的二段階アプローチ Scalable Methods for Adaptively Seeding a Social Network WWW 2015 その他 How to Influence People with Partial Incentives Mining Social Networks Using Heat Diffusion Processes for Marketing ... Influence Maximization with Viral Product Design Profit Maximization over Social Networks On Budgeted Influence Maximization in Social Networks In Search of Influential Event Organizers in Online Social Networks Linear Computation for Independent Social Influence Efficient Location-Aware Influence Maximization Dynamic Influence Maximization Under Increasing Returns to Scale Online Influence Maximization Real-time Targeted Influence Maximization for Online Advertisements VLDB 2015 連続時間独立カスケード(CT-IC)モデル Uncovering the Temporal Dynamics of Diffusion Networks ICML 2011 Influence Maximization in Continuous Time Diffusion Networks ICML 2012 Scalable Influence Estimation in Continuous-Time Diffusion Networks NIPS 2013 Tight Bounds for Influence in Diffusion Networks and Application to Bond ... NIPS 2014 Anytime Influence Bounds and the Explosive Behavior of Continuous-Time ... NIPS 2015 汚染最小化 Minimizing the Spread of Contamination by Blocking Links in a Network Blocking Links to Minimize Contamination Spread in a Social Network Negative Influence Minimizing by Blocking Nodes in Social Networks Finding Spread Blockers in Dynamic Networks 動的アルゴリズム Influence Maximization in Dynamic Social Networks Maximizing the Extent of Spread in a Dynamic Network On Influential Nodes Tracking in Dynamic Social Networks Real-Time Influence Maximization on Dynamic Social Streams PVLDB 2017 斉藤 和巳さん一派 Tractable Models for Information Diffusion in Social Networks PKDD 2006 Extracting Influential Nodes for Information Diffusion on a Social Network AAAI 2007 Minimizing the Spread of Contamination by Blocking Links in a Network AAAI 2008 Prediction of Information Diffusion Probabilities for Independent Cascade Model KES 2008 Learning Continuous-Time Information Diffusion Model for Social Behavioral ... ACML 2009 Selecting Information Diffusion Models over Social Networks for Behavioral ... ECML PKDD 2010 (ACML 09と同じ?) Blocking Links to Minimize Contamination Spread in a Social Network TKDD 2009 Finding Influential Nodes in a Social Network from Information Diffusion Data SBP 2009 Learning information diffusion model in a social network for predicting influence of nodes Intell. Data Anal. 2011 Learning Diffusion Probability based on Node Attributes in Social Networks ISMIS 2011 Uncertain Graphs On a Routing Problem Within Probabilistic Graphs ... INFOCOM 2007 The Most Reliable Subgraph Problem PKDD 2007 Frequent Subgraph Pattern Mining on Uncertain Graph Data CIKM 2009 Fast Discovery of Reliable Subnetworks ASONAM 2010 k-Nearest Neighbors in Uncertain Graphs VLDB 2010 Finding Top-k Maximal Cliques in an Uncertain Graph ICDE 2010 Fast Discovery of Reliable k-terminal Subgraphs PAKDD 2010 Discovering Frequent Subgraphs over Uncertain Graph Databases under ... KDD 2010 BMC An Efficient Method to Evaluate Probabilistic Reachability Queries DASFAA 2011 Efficient Discovery of Frequent Subgraph Patterns in Uncertain Graph Databases EDBT 2011 Discovering Highly Reliable Subgraphs in Uncertain Graphs KDD 2011 Distance Constraint Reachability Computation in Uncertain Graphs VLDB 2011 Efficient Subgraph Search over Large Uncertain Graphs VLDB 2011 Reliable Clustering on Uncertain Graphs ICDM 2012 Polynomial-Time Algorithm for Finding Densest Subgraphs in Uncertain Graphs MLG 2013 Clustering Large Probabilistic Graphs TKDE 2013 The Pursuit of a Good Possible World Extracting Representative Instances of ... SIGMOD 2014 Efficient and Accurate Query Evaluation on Uncertain Graphs via Recursive ... ICDE 2014 Fast Reliability Search in Uncertain Graphs EDBT 2014 Top-k Reliable Edge Colors in Uncertain Graphs CIKM 2015 Top-k Reliability Search on Uncertain Graphs ICDM 2015 Assessing Attack Vulnerability in Networks with Uncertainty INFOCOM 2015 Triangle-Based Representative Possible Worlds of Uncertain Graphs DASFAA 2016 Truss Decomposition of Probabilistic Graphs Semantics and Algorithms SIGMOD 2016 ネットワーク信頼性 A practical bounding algorithm for computing two-terminal reliability based ... Comput. Math. Appl. 2011 OR系 Minimum-Risk Maximum Clique Problem k-means Streaming k-means approximation StreamKM++ A Clustering Algorithm for Data Streams k-means++ The Advantages of Careful Seeding Streaming k-means on Well-Clusterable Data A Local Search Approximation Algorithm for k-Means Clustering Fast and Accurate k-means For Large Datasets Hartigan s Method k-means Clustering without Voronoi Hartigan s K-Means Versus Lloyd s K-Means - Is It Time for a Change? Using the Triangle Inequality to Accelerate k-Means Making k-means even faster Accelerated k-means with adaptive distance bounds PageRank 高速計算 Extrapolation Methods for Accelerating PageRank Computations FAST-PPR Scaling Personalized PageRank Estimation for Large Graphs 動的更新 Link Evolution Analysis and Algorithms Fast Incremental and Personalized PageRank PageRank on an Evolving Graph Efficient PageRank Tracking in Evolving Networks 私,前原貴憲,河原林健一 バックボタン The Effect of the Back Button in a Random Walk Application for PageRank BackRank an Alternative for PageRank? Spectral Clustering A Random Walks View of Spectral Segmentation Kernel k-means, Spectral Clustering and Normalized Cuts http //ranger.uta.edu/~chqding/Spectral/ https //arxiv.org/abs/0711.0189 A Tutorial on Spectral Clustering. Ulrike von Luxburg Laplacian https //sites.google.com/a/yale.edu/laplacian/ 理論計算機科学 + ... ACM Symposium on Theory of Computing STOC 2013 Fast Approximation Algorithms for the Diameter and Radius of Sparse Graphs STOC 2014 The matching polytope has exponential extension complexity Approximation Algorithms for Regret-Bounded Vehicle Routing and Applications ... Approximate Distance Oracle with Constant Query Time Zig-zag Sort A Simple Deterministic Data-Oblivious Sorting Algorithm ... Minimum Bisection is Fixed Parameter Tractable IEEE Symposium on Foundations of Computer Science FOCS 2013 https //sites.google.com/site/tcsreading/home/focs2013 The Price of Stability for Undirected Broadcast Network Design with Fair ... Learning Sums of Independent Integer Random Variables OSNAP Faster numerical linear algebra algorithms via sparser subspace ... Efficient Accelerated Coordinate Descent Methods and Faster Algorithms for ... Algebraic Algorithms for b-Matching, Shortest Undirected Paths, and f-Factors Improved approximation for 3-dimensional matching via bounded pathwidth ... Independent Set, Induced Matching, and Pricing Connections and Tight ... Approximating Minimum-Cost k-Node Connected Subgraphs via Independence-Free ... Online Node-weighted Steiner Forest and Extensions via Disk Paintings An LMP O(log n)-Approximation Algorithm for Node Weighted Prize Collecting ... Approximating Bin Packing within O(log OPT*loglog OPT) bins Strong Backdoors to Bounded Treewidth SAT ACM-SIAM Symposium on Discrete Algorithms SODA 2008 On the Approximability of Influence in Social Networks SODA 2014 Maximizing Social Influence in Nearly Optimal Time Influence Maximization in Undirected Networks International Symposium on Algorithms and Computation ACM Conference on Innovations in Theoretical Computer Science アルゴリズム + ... Workshop on Algorithm Engineering and Experiments ALENEX 2016 Computing Top-k Closeness Centrality Faster in Unweighted Graphs International Symposium on Experimental Algorithms SEA 2015 Is Nearly-linear the Same in Theory and Practice? A Case Study with a ... Workshop on Algorithms and Models for the Web Graph WAW 2012 Dynamic PageRank using Evolving Teleportation SIGMETRICS 2017 Outward Influence and Cascade Size Estimation in Billion-scale Networks ジャーナル版はProceedings of the ACM on Measurement and Analysis of Computing Systems (POMACS) データマイニング + ... ACM SIGKDD Conference on Knowledge Discovery and Data Mining KDD 2001 Mining the Network Value of Customers Co-clustering documents and words using Bipartite Spectral Graph Partitioning KDD 2002 Mining Knowledge-Sharing Sites for Viral Marketing KDD 2007 ✔Cost-effective Outbreak Detection in Networks KDD 2008 ✔Influence and Correlation in Social Networks KDD 2009 Efficient Influence Maximization in Social Networks ✔On Compressing Social Networks KDD 2010 Inferring Networks of Diffusion and Influence Scalable Influence Maximization for Prevalent Viral Marketing in Large-Scale ... Community-based Greedy Algorithm for Mining Top-K Influential Nodes in ... Discovering Frequent Subgraphs over Uncertain Graph Databases under ... Semi-Supervised Feature Selection for Graph Classification KDD 2011 Discovering Highly Reliable Subgraphs in Uncertain Graphs Sparsification of Influence Networks KDD 2012 Streaming Graph Partitioning for Large Distributed Graphs PageRank on an Evolving Graph Information Diffusion and External Influence in Networks Vertex Neighborhoods, Low Conductance Cuts, and Good Seeds for Local ... Information Propagation Game a Tool to Acquire Human Playing Data for ... Chromatic Correlation Clustering Efficient Personalized PageRank with Accuracy Assurance KDD 2013 Denser than the Densest Subgraph Extracting Optimal Quasi-Cliques with ... Redundancy-Aware Maximal Cliques Trial and Error in Influential Social Networks Workshop on Mining and Learning with Graphs (MLG) Polynomial-Time Algorithm for Finding Densest Subgraphs in Uncertain Graphs KDD 2014 Stability of Influence Maximization Minimizing Seed Set Selection with Probabilistic Coverage Guarantee in a ... Heat Kernel Based Community Detection Balanced Graph Edge Partition Correlation Clustering in MapReduce Streaming Submodular Maximization Massive Data Summarization on the Fly Fast Influence-based Coarsening for Large Networks FAST-PPR Scaling Personalized PageRank Estimation for Large Graphs KDD 2015 Influence at Scale Distributed Computation of Complex Contagion in Networks Efficient Algorithms for Public-Private Social Networks Reciprocity in Social Networks with Capacity Constraints Online Influence Maximization Locally Densest Subgraph Discovery ✔Scalable Large Near-Clique Detection in Large-Scale Networks via Sampling Non-exhaustive, Overlapping Clustering via Low-Rank Semidefinite Programming KDD 2016 ✔Robust Influence Maximization (He-Kempe) Robust Influence Maximization (Chen+) FRAUDAR Bounding Graph Fraud in the Face of Camouflage KDD 2018 Approximating the Spectrum of a Graph IEEE International Conference on Data Mining ICDM 2006 Fast Random Walk with Restart and Its Applications ICDM 2010 Scalable Influence Maximization in Social Networks under the Linear ... Modeling Information Diffusion in Implicit Networks ICDM 2011 Simpath An Efficient Algorithm for Influence Maximization under the Linear ... On the Hardness of Graph Anonymization Overlapping correlation clustering Minimizing Seed Set for Viral Marketing ICDM 2012 Reliable Clustering on Uncertain Graphs IRIE Scalable and Robust Influence Maximization in Social Networks Predicting Directed Links using Nondiagonal Matrix Decompositions Inferring the Underlying Structure of Information Cascades Topic-aware Social Influence Propagation Models Time Constrained Influence Maximization in Social Networks Profit Maximization over Social Networks ICDM 2013 Influence Maximization in Dynamic Social Networks UBLF An Upper Bound Based Approach to Discover Influential Nodes in Social ... Influence-based Network-oblivious Community Detection Linear Computation for Independent Social Influence ICDM 2014 Quick Detection of High-degree Entities in Large Directed Networks ICDM 2015 Top-k Reliability Search on Uncertain Graphs ✔Catching the head, tail, and everything in between a streaming algorithm ... ICDM 2017 Importance Sketching of Influence Dynamics in Billion-scale Networks European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases PKDD 2006 Tractable Models for Information Diffusion in Social Networks PKDD 2007 The Most Reliable Subgraph Problem PKDD 2012 On Approximation of Real-World Influence Spread ECML PKDD 2010 Selecting Information Diffusion Models over Social Networks for Behavioral ... ECML PKDD 2012 Influence Spread in Large-Scale Social Networks - A Belief Propagation Approach ECML PKDD 2016 Temporal PageRank SIAM International Conference on Data Mining SDM 2010 Fast Single-Pair SimRank Computation SDM 2011 Influence Maximization in Social Networks When Negative Opinions May Emerge ... Maximising the Quality of Influence SDM 2012 On Influential Node Discovery in Dynamic Social Networks Influence Blocking Maximization in Social Networks under the Competitive ... ✔Fast Robustness Estimation in Large Social Graphs Communities and Anomaly ... SDM 2013 Triadic Measures on Graphs The Power of Wedge Sampling k-means-- A unified approach to clustering and outlier detection Opinion maximization in social networks SDM 2014 Influence Maximization with Viral Product Design Future Influence Ranking of Scientific Literature VoG Summarizing and Understanding Large Graphs Make It or Break It Manipulating Robustness in Large Networks Accelerating Graph Adjacency Matrix Multiplications with Adjacency Forest SDM 2015 Selecting Shortcuts for a Smaller World Where Graph Topology Matters The Robust Subgraph Problem On Influential Nodes Tracking in Dynamic Social Networks ✔Non-exhaustive, Overlapping k-means SDM 2017 A Dual-tree Algorithm for Fast k-means Clustering with Large k Pacific-Asia Conference on Knowledge Discovery and Data Mining PAKDD 2010 Fast Discovery of Reliable k-terminal Subgraphs ソーシャルネットワーク + ... IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining ASONAM 2009 Spectral Counting of Triangles in Power-Law Networks via Element-Wise ... Reducing Social Network Dimensions Using Matrix Factorization Methods Dynamic and Static Influence Models on Starbucks Networks ASONAM 2010 Fast Discovery of Reliable Subnetworks ASONAM 2011 Dynamic Social Influence Analysis through Time-dependent Factor Graphs ASONAM 2012 Influence of the Dynamic Social Network Timeframe Type and Size on the Group ... Diffusion Centrality in Social Networks Visual Analysis of Dynamic Networks using Change Centrality ASONAM 2014 Diversified Social Influence Maximization ASONAM 2015 Structure-Preserving Sparsification of Social Networks ACM Conference on Online Social Networks COSN 2013 Scalable Similarity Estimation in Social Networks Closeness, Node Labels, ... Counting Triangles in Large Graphs using Randomized Matrix Trace Estimation International Conference on Computational Social Networks CSoNet 2015 Real-time Topic-aware Influence Maximization Using Preprocessing Social Influence Spectrum with Guarantees Computing More in Less Time SNA-KDD (International Workshop on Social Network Mining and Analysis) Finding Spread Blockers in Dynamic Networks データベース + ... ACM SIGMOD International Conference on Management of Data SIGMOD 2011 On k-skip Shortest Paths Local Graph Sparsification for Scalable Clustering SIGMOD 2013 Massive Graph Triangulation Efficiently Computing k-Edge Connected Components via Graph Decomposition I/O Efficient Computing SCCs in Massive Graphs TurboISO Towards Ultrafast and Robust Subgraph Isomorphism Search in Large ... TF-Label a Topological-Folding Labeling Scheme for Reachability Querying in ... Online Search of Overlapping Communities Efficient Ad-hoc Search for Personalized PageRank SIGMOD 2014 In Search of Influential Event Organizers in Online Social Networks Efficient Location-Aware Influence Maximization Querying K-Truss Community in Large and Dynamic Graph The Pursuit of a Good Possible World Extracting Representative Instances of ... Influence Maximization Near-Optimal Time Complexity Meets Practical Efficiency SIGMOD 2015 COMMIT A Scalable Approach to Mining Communication Motifs from Dynamic Networks Minimum Spanning Trees in Temporal Graphs Influence Maximization in Near-Linear Time A Martingale Approach SIGMOD 2016 Spheres of Influence for More Effective Viral Marketing ✔Speedup Graph Processing by Graph Ordering Distributed Set Reachability ✔Truss Decomposition of Probabilistic Graphs Semantics and Algorithms Holistic Influence Maximization Combining Scalability and Efficiency with ... Stop-and-Stare Optimal Sampling Algorithms for Viral Marketing in ... TIM+やIMMより高性能(と謳う)影響最大化アルゴリズム SIGMOD 2017 Debunking the Myths of Influence Maximization An In-Depth Benchmarking Study Computing A Near-Maximum Independent Set in Linear Time by Reducing-Peeling DAG Reduction Fast Answering Reachability Queries Scaling Locally Linear Embedding Dynamic Density Based Clustering IEEE International Conference on Data Engineering ICDE 2010 Finding Top-k Maximal Cliques in an Uncertain Graph ICDE 2011 Outlier Detection in Graph Streams ICDE 2012 Learning Stochastic Models of Information Flow Extracting Analyzing and Visualizing Triangle K-Core Motifs within Networks ICDE 2013 Scalable and Parallelizable Processing of Influence Maximization for ... Scalable Maximum Clique Computation Using MapReduce Faster Random Walks By Rewiring Online Social Networks On-The-Fly Sampling Node Pairs Over Large Graphs ICDE 2014 How to Partition a Billion-Node Graph Random-walk Domination in Large Graphs Evaluating Multi-Way Joins over Discounted Hitting Time Efficient and Accurate Query Evaluation on Uncertain Graphs via Recursive ... International Conference on Very Large Data Bases VLDB 2010 Shortest Path Computation on Air Indexes Fast Incremental and Personalized PageRank k-Nearest Neighbors in Uncertain Graphs VLDB 2011 On Triangulation-based Dense Neighborhood Graph Discovery Distance Constraint Reachability Computation in Uncertain Graphs Efficient Subgraph Search over Large Uncertain Graphs VLDB 2012 Keyword-aware Optimal Route Search gSketch On Query Estimation in Graph Streams A Data-Based Approach to Social Influence Maximization Scalable K-Means++ Fast and Exact Top-k Search for Random Walk with Restart VLDB 2013 iRoad A Framework For Scalable Predictive Query Processing On Road Networks Top-K Nearest Keyword Search on Large Graphs Memory Efficient Minimum Substring Partitioning Piggybacking on Social Networks Streaming Algorithms for k-core Decomposition VLDB 2014 More is Simpler Effectively and Efficiently Assessing Node Pair ... On k-Path Covers and their Applications Crowdsourcing Algorithms for Entity Resolution VLDB 2015 Viral Marketing Meets Social Advertising Ad Allocation with Minimum Regret Online Topic-Aware Influence Maximization Real-time Targeted Influence Maximization for Online Advertisements VLDB 2016 Fast Algorithm for the Lasso based L1-Graph Construction Online Entity Resolution Using an Oracle VLDB 2017 Revenue Maximization in Incentivized Social Advertising Real-Time Influence Maximization on Dynamic Social Streams Revisiting the Stop-and-Stare Algorithms for Influence Maximization ACM International Conference on Information and Knowledge Management CIKM 2008 Mining Social Networks Using Heat Diffusion Processes for Marketing ... The query-flow graph model and applications CIKM 2009 Frequent Subgraph Pattern Mining on Uncertain Graph Data CIKM 2011 Suggesting Ghost Edges for a Smaller World CIKM 2012 Delineating Social Network Data Anonymization via Random Edge Perturbation ✔Gelling, and Melting, Large Graphs by Edge Manipulation CIKM 2013 StaticGreedy Solving the Scalability-Accuracy Dilemma in Influence Maximization Personalized Influence Maximization on Social Networks Probabilistic Solutions of Influence Propagation on Networks Efficiently Anonymizing Social Networks with Reachability Preservation Overlapping Community Detection Using Seed Set Expansion CIKM 2014 Pushing the Envelope in Graph Compression CIKM 2015 Top-k Reliable Edge Colors in Uncertain Graphs International Conference on Extending Database Technology EDBT 2011 Efficient Discovery of Frequent Subgraph Patterns in Uncertain Graph Databases EDBT 2013 CINEMA Conformity-Aware Greedy Algorithm for Influence Maximization in ... EDBT 2014 Online Topic-aware Influence Maximization Queries Privacy Preserving Estimation of Social Influence ✔Fast Reliability Search in Uncertain Graphs EDBT 2015 Identifying Converging Pairs of Nodes on a Budget International Conference on Database Systems for Advanced Applications DASFAA 2011 BMC An Efficient Method to Evaluate Probabilistic Reachability Queries DASFAA 2016 Triangle-Based Representative Possible Worlds of Uncertain Graphs ウェブ + ... International World Wide Web Conference WWW 2003 Extrapolation Methods for Accelerating PageRank Computations WWW 2004 The Effect of the Back Button in a Random Walk Application for PageRank RandomSurfer with Back Step Propagation of Trust and Distrust WWW 2005 BackRank an Alternative for PageRank? WWW 2007 Wherefore Art Thou R3579X? Anonymized Social Networks, Hidden Patterns, and ... WWW 2008 Fast Algorithms for Top-k Personalized PageRank Queries WWW 2009 Towards Context-Aware Search by Learning A Very Large Variable Length Hidden ... WWW 2010 Sampling Community Structure Stochastic Models for Tabbed Browsing Tracking the Random Surfer Empirically Measured Teleportation Parameters in ... WWW 2011 Limiting the Spread of Misinformation in Social Networks Estimating Sizes of Social Networks via Biased Sampling CELF++ Optimizing the Greedy Algorithm for Influence Maximization in Social ... WWW 2012 The Role of Social Networks in Information Diffusion Analyzing Spammer s Social Networks for Fun and Profit Human Wayfinding in Information Networks Optimizing Budget Allocation Among Channels and Influencers Recommendations to Boost Content Spread in Social Networks WWW 2013 Subgraph Frequencies Mapping the Empirical and Extremal Geography of Large ... Estimating Clustering Coefficients and Size of Social Networks via Random Walk Spectral Analysis of Communication Networks Using Dirichlet Eigenvalues WWW 2014 How to Influence People with Partial Incentives An Upper Bound based Greedy Algorithm for Mining Top-k Influential Nodes in ... ポスター Maximizing the Long-term Integral Influence in Social Networks Under the ... ポスター WWW 2015 Path Sampling A Fast and Provable Method for Estimating 4-Vertex Subgraph ... ✔The K-clique Densest Subgraph Problem ASIM A Scalable Algorithm for Influence Maximization under the Independent ... ✔Scalable Methods for Adaptively Seeding a Social Network WWW 2017 Why Do Cascade Sizes Follow a Power-Law? Exact Computation of Influence Spread by Binary Decision Diagrams ACM International Conference on Web Search and Data Mining WSDM 2010 TwitterRank Finding Topic-sensitive Influential Twitterers Learning Influence Probabilities In Social Networks WSDM 2013 On the Streaming Complexity of Computing Local Clustering Coefficients Influence Diffusion Dynamics and Influence Maximization in Social Networks ... From Machu_Picchu to rafting the urubamba river Anticipating information ... WSDM 2015 Negative Link Prediction in Social Media On Integrating Network and Community Discovery The Power of Random Neighbors in Social Networks International Conference on Weblogs and Social Media ICWSM 2010 ICWSM - A Great Catchy Name Semi-Supervised Recognition of Sarcastic ... ICWSM 2011 4chan and /b/ An Analysis of Anonymity and Ephemerality in a Large Online ... 人工知能 + ... AAAI Conference on Artificial Intelligence AAAI 2007 Extracting Influential Nodes for Information Diffusion on a Social Network AAAI 2008 Minimizing the Spread of Contamination by Blocking Links in a Network AAAI 2010 EWLS A New Local Search for Minimum Vertex Cover AAAI 2011 Simulated Annealing Based Influence Maximization in Social Networks Nonnegative Spectral Clustering with Discriminative Regularization AAAI 2012 Exacting Social Events for Tweets Using a Factor Graph Time-Critical Influence Maximization in Social Networks with Time-Delayed ... Two New Local Search Strategies for Minimum Vertex Cover AAAI 2013 Sensitivity of Diffusion Dynamics to Network Uncertainty Spectral Rotation versus K-Means in Spectral Clustering Fast and Exact Top-k Algorithm for PageRank workshop Negative Influence Minimizing by Blocking Nodes in Social Networks AAAI 2014 New Models for Competitive Contagion Influence Maximization with Novelty Decay in Social Networks Rounded Dynamic Programming for Tree-Structured Stochastic Network Design Theory of Cooperation in Complex Social Networks AAAI 2015 Two Weighting Local Search for Minimum Vertex Cover AAAI 2016 Approximate K-Means++ in Sublinear Time AAAI 2018 Risk-Sensitive Submodular Optimization International Joint Conference on Artificial Intelligence IJCAI 2001 Link Analysis, Eigenvectors and Stability IJCAI 2009 Efficient Estimation of Influence Functions for SIS Model on Social Networks IJCAI 2011 Fast Approximate Nearest-Neighbor Search with k-Nearest Neighbor Graph IJCAI 2015 Influence Maximization in Big Networks An Incremental Algorithm for ... Non-monotone Adaptive Submodular Maximization IJCAI 2017 Robust Quadratic Programming for Price Optimization International Conference on Artificial Intelligence and Statistics AISTATS 2012 On Bisubmodular Maximization AISTATS 2018 Random Warping Series A Random Features Method for Time-Series Embedding International Workshop on Internet and Network Economics WINE 2007 Competitive Influence Maximization in Social Networks A Note on Maximizing the Spread of Influence in Social Networks WINE 2010 Threshold Models for Competitive Influence in Social Networks IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology WI-IAT 2009 From Dango to Japanese Cakes Query Reformulation Models and Patterns WI-IAT 2014 Lazy Walks Versus Walks with Backstep Flavor of PageRank Conference on Uncertainty in Artificial Intelligence UAI 2010 Maximizing the Spread of Cascades Using Network Design International Conference on Antonomous Agents and Multiagent Sytems AAMAS 2015 Dynamic Influence Maximization Under Increasing Returns to Scale AAMAS 2016 Robust Influence Maximization (Lowalekar+) KES (International Conference on Knowledge-Based Intelligent Information and Engineering Systems) Prediction of Information Diffusion Probabilities for Independent Cascade Model ISMIS (International Conference on Foundations of Intelligent Systems) Learning Diffusion Probability based on Node Attributes in Social Networks 機械学習 + ... Conference on Neural Information Processing Systems NIPS 2003 Learning with Local and Global Consistency NIPS 2004 An Application of Boosting to Graph Classification NIPS 2009 Random Walks with Random Projections NIPS 2013 http //connpass.com/event/4728/ Scalable Influence Estimation in Continuous-Time Diffusion Networks Distributed Representations of Words and Phrases and their Compositionality DeViSE A Deep Visual-Semantic Embedding Model A Gang of Bandits Similarity Component Analysis One-shot learning by inverting a compositional causal process Inverse Density as an Inverse Problem The Fredholm Equation Approach Approximate Bayesian Image Interpretation using Generative Probabilistic ... Playing Atari with Deep Reinforcement Learning Scalable kernels for graphs with continuous attributes More Effective Distributed ML via a Stale Synchronous Parallel Parameter Server NIPS 2014 Tight Bounds for Influence in Diffusion Networks and Application to Bond ... NIPS 2015 A Structural Smoothing Framework For Robust Graph-Comparison Anytime Influence Bounds and the Explosive Behavior of Continuous-Time ... Learnability of Influence in Networks A Submodular Framework for Graph Comparison https //stanford.edu/~jugander/NetworksNIPS2015/ ワークショップ NIPS 2016 Joint M-Best-Diverse Labelings as a Parametric Submodular Minimization Fast and Provably Good Seedings for k-Means Maximizing Influence in an Ising Network A Mean-Field Optimal Solution Budgeted stream-based active learning via adaptive submodular maximization Computing and maximizing influence in linear threshold and triggering models The Power of Optimization from Samples NIPS 2017 Stochastic Submodular Maximization The Case of Coverage Functions Robust Optimization for Non-Convex Objectives The Importance of Communities for Learning to Influence International Conference on Machine Learning ICML 2003 ✔Marginalized Kernels Between Labeled Graphs ICML 2011 Uncovering the Temporal Dynamics of Diffusion Networks Preserving Personalized Pagerank in Subgraphs ICML 2012 Influence Maximization in Continuous Time Diffusion Networks ICML 2014 Efficient Label Propagation ICML 2015 ✔Yinyang K-Means A Drop-In Replacement of the Classic K-Means with ... ACML (Asian Conference on Machine Learning) 2009 Learning Continuous-Time Information Diffusion Model for Social Behavioral ... 高性能計算 + ... IEEE International Parallel & Distributed Processing Symposium IPDPS 2016 Rabbit Order Just-in-time Parallel Reordering for Fast Graph Analysis PDPTA (International Conference on Parallel and Distributed Processing Techniques and Applications) Latent Feature Independent Cascade Model for Social Propagation 通信ネットワーク + ... IEEE International Conference on Computer Communications INFOCOM 2007 On a Routing Problem Within Probabilistic Graphs ... INFOCOM 2012 Approximate Convex Decomposition Based Localization in Wireless Sensor Networks INFOCOM 2013 2.5K-Graphs from Sampling to Generation Maximizing Submodular Set Function with Connectivity Constraint Theory and ... A Graph Minor Perspective to Network Coding Connecting Algebraic Coding ... INFOCOM 2014 Information Diffusion in Mobile Social Networks The Speed Perspective A General Framework of Hybrid Graph Sampling for Complex Network Analysis INFOCOM 2015 Assessing Attack Vulnerability in Networks with Uncertainty INFOCOM 2016 Cost-aware Targeted Viral Marketing in Billion-scale Networks INFOCOM 2017 Why approximate when you can get the exact? Optimal Targeted Viral Marketing ... WASA (Wireless Algorithms, Systems, and Applications) Minimum-Cost Information Dissemination in Social Networks 情報検索 + ... ACM International Conference on Research and Development in Information Retrieval SIGIR 2014 The Role of Network Distance in LinkedIn People Search Influential Nodes Selection A Data Reconstruction Perspective IMRank Influence Maximization via Finding Self-Consistent Ranking 自然言語処理 + ... Meeting of the Association for Computational Linguistics ACL 2011 Word Alignment via Submodular Maximization over Matroids ACL 2013 A user-centric model of voting intention from Social Media グラフィクス・ビジョン・HCI + ... ACM SIGCHI Conference on Human Factors in Computing Systems IEEE Conference on Computer Vision and Pattern Recognition CVPR 2014 Spectral Graph Reduction for Efficient Image and Streaming Video Segmentation superpixelでグラフを小さくして画像分割とかを効率化 SBP (International Workshop on Social Computing and Behavioral Modeling) 2009 Finding Influential Nodes in a Social Network from Information Diffusion Data Manuscript+Technical report Random-walk domination in large graphs problem definitions and fast solutions Lazier Than Lazy Greedy ✔A Fast and Provable Method for Estimating Clique Counts Using Turan s Theorem ジャーナル トップジャーナル KAIS (Knowledge and Information Systems) Efficient algorithms for influence maximization in social networks IPL (Information Processing Letters) A Fast and Practical Bit-Vector Algorithm for the Longest Common Subsequence ... Internet Mathematics Link Evolution Analysis and Algorithms Towards Scaling Fully Personalized PageRank Algorithms, Lower Bounds, and ... TKDD (Transactions on Knowledge Discovery from Data) 2009 Blocking Links to Minimize Contamination Spread in a Social Network TKDE 2013 Clustering Large Probabilistic Graphs 普通のジャーナル Computational Social Networks Efficient influence spread estimation for influence maximization under the ... Computers and Mathematics with Applications A practical bounding algorithm for computing two-terminal reliability based ... Dynamics of Information Systems Algorithmic Approaches Minimum-Risk Maximum Clique Problem Information Sciences Super mediator - A new centrality measure of node importance for information ... Minimizing the expected complete influence time of a social network Maximizing the spread of influence ranking in social networks 連続時間マルコフ連鎖を取り入れたICモデル JCO (Journal of Combinatorial Optimization) 2012 The complexity of influence maximization problem in the deterministic linear ... JSAC (IEEE Journal on Selected Areas in Communications) 2013 On Budgeted Influence Maximization in Social Networks SNAM (Social Network Analysis and Mining) 2012 On minimizing budget and time in influence propagation over social networks TPDS (IEEE Transactions on Parallel and Distributed Systems) IMGPU GPU-Accelerated Influence Maximization in Large-Scale Social Networks フォーカス外 Maximizing the Extent of Spread in a Dynamic Network ICEC (International Conference on Electronic Commerce) Maximizing Influence in a Competitive Social Network A Follower s Perspective WISE 2013 A Novel and Model Independent Approach for Efficient Influence Maximization ... 国内会議 人工知能学会 JSAI Resampling-based Predictive Simulation for Identifying Influential Nodes ... Finding Important Users for Information Diffusion Influence analysis of information diffusion focusing on directed networks Proposal of AIDM Agent-based Information Diffusion Model Predicting Japanese General Election in 2013 with Twitter Considering ... Which Targets to Contact First to Maximize Influence over Social Network 他分野 Econometrica The Network Origins of Aggregate Fluctuations PLoS ONE Social Network Sensors for Early Detection of Contagious Outbreaks Proceedings of the National Academy of Sciences PNAS Dynamic social networks promote cooperation in experiments with humans Spectral Redemption Clustering Sparse Networks Physical Review Letters First Passage Time for Random Walks in Heterogeneous Networks Adaptation and Optimization of Biological Transport Networks Locating the Source of Diffusion in Large-Scale Network Enhanced Flow in Small-World Networks Science Quantifying Long-Term Scientific Impact Control Profiles of Complex Networks Nature Communications Griffiths phases and the stretching of criticality in brain networks A scaling law for random walks on networks Influence maximization in complex networks through optimal percolation 2024-04-23 23 09 41 (Tue)
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CHAPTER XXXIII UP CHAPTER XXXV CHAPTER XXXIV A Queen s Girl The next three weeks were busy ones at Green Gables, for Anne was getting ready to go to Queen s, and there was much sewing to be done, and many things to be talked over and arranged. Anne s outfit was ample and pretty, for Matthew saw to that, and Marilla for once made no objections whatever to anything he purchased or suggested. More-- one evening she went up to the east gable with her arms full of a delicate pale green material. "Anne, here s something for a nice light dress for you. I don t suppose you really need it; you ve plenty of pretty waists; but I thought maybe you d like something real dressy to wear if you were asked out anywhere of an evening in town, to a party or anything like that. I hear that Jane and Ruby and Josie have got `evening dresses, as they call them, and I don t mean you shall be behind them. I got Mrs. Allan to help me pick it in town last week, and we ll get Emily Gillis to make it for you. Emily has got taste, and her fits aren t to be equaled." "Oh, Marilla, it s just lovely," said Anne. "Thank you so much. I don t believe you ought to be so kind to me--it s making it harder every day for me to go away." The green dress was made up with as many tucks and frills and shirrings as Emily s taste permitted. Anne put it on one evening for Matthew s and Marilla s benefit, and recited "The Maiden s Vow" for them in the kitchen. As Marilla watched the bright, animated face and graceful motions her thoughts went back to the evening Anne had arrived at Green Gables, and memory recalled a vivid picture of the odd, frightened child in her preposterous yellowish-brown wincey dress, the heartbreak looking out of her tearful eyes. Something in the memory brought tears to Marilla s own eyes. "I declare, my recitation has made you cry, Marilla," said Anne gaily stooping over Marilla s chair to drop a butterfly kiss on that lady s cheek. "Now, I call that a positive triumph." "No, I wasn t crying over your piece," said Marilla, who would have scorned to be betrayed into such weakness by any poetry stuff. "I just couldn t help thinking of the little girl you used to be, Anne. And I was wishing you could have stayed a little girl, even with all your queer ways. You ve grown up now and you re going away; and you look so tall and stylish and so--so--different altogether in that dress--as if you didn t belong in Avonlea at all-- and I just got lonesome thinking it all over." "Marilla!" Anne sat down on Marilla s gingham lap, took Marilla s lined face between her hands, and looked gravely and tenderly into Marilla s eyes. "I m not a bit changed-- not really. I m only just pruned down and branched out. The real ME--back here--is just the same. It won t make a bit of difference where I go or how much I change outwardly; at heart I shall always be your little Anne, who will love you and Matthew and dear Green Gables more and better every day of her life." Anne laid her fresh young cheek against Marilla s faded one, and reached out a hand to pat Matthew s shoulder. Marilla would have given much just then to have possessed Anne s power of putting her feelings into words; but nature and habit had willed it otherwise, and she could only put her arms close about her girl and hold her tenderly to her heart, wishing that she need never let her go. Matthew, with a suspicious moisture in his eyes, got up and went out-of-doors. Under the stars of the blue summer night he walked agitatedly across the yard to the gate under the poplars. "Well now, I guess she ain t been much spoiled," he muttered, proudly. "I guess my putting in my oar occasional never did much harm after all. She s smart and pretty, and loving, too, which is better than all the rest. She s been a blessing to us, and there never was a luckier mistake than what Mrs. Spencer made--if it WAS luck. I don t believe it was any such thing. It was Providence, because the Almighty saw we needed her, I reckon." The day finally came when Anne must go to town. She and Matthew drove in one fine September morning, after a tearful parting with Diana and an untearful practical one-- on Marilla s side at least--with Marilla. But when Anne had gone Diana dried her tears and went to a beach picnic at White Sands with some of her Carmody cousins, where she contrived to enjoy herself tolerably well; while Marilla plunged fiercely into unnecessary work and kept at it all day long with the bitterest kind of heartache--the ache that burns and gnaws and cannot wash itself away in ready tears. But that night, when Marilla went to bed, acutely and miserably conscious that the little gable room at the end of the hall was untenanted by any vivid young life and unstirred by any soft breathing, she buried her face in her pillow, and wept for her girl in a passion of sobs that appalled her when she grew calm enough to reflect how very wicked it must be to take on so about a sinful fellow creature. Anne and the rest of the Avonlea scholars reached town just in time to hurry off to the Academy. That first day passed pleasantly enough in a whirl of excitement, meeting all the new students, learning to know the professors by sight and being assorted and organized into classes. Anne intended taking up the Second Year work being advised to do so by Miss Stacy; Gilbert Blythe elected to do the same. This meant getting a First Class teacher s license in one year instead of two, if they were successful; but it also meant much more and harder work. Jane, Ruby, Josie, Charlie, and Moody Spurgeon, not being troubled with the stirrings of ambition, were content to take up the Second Class work. Anne was conscious of a pang of loneliness when she found herself in a room with fifty other students, not one of whom she knew, except the tall, brown-haired boy across the room; and knowing him in the fashion she did, did not help her much, as she reflected pessimistically. Yet she was undeniably glad that they were in the same class; the old rivalry could still be carried on, and Anne would hardly have known what to do if it had been lacking. "I wouldn t feel comfortable without it," she thought. "Gilbert looks awfully determined. I suppose he s making up his mind, here and now, to win the medal. What a splendid chin he has! I never noticed it before. I do wish Jane and Ruby had gone in for First Class, too. I suppose I won t feel so much like a cat in a strange garret when I get acquainted, though. I wonder which of the girls here are going to be my friends. It s really an interesting speculation. Of course I promised Diana that no Queen s girl, no matter how much I liked her, should ever be as dear to me as she is; but I ve lots of second-best affections to bestow. I like the look of that girl with the brown eyes and the crimson waist. She looks vivid and red-rosy; there s that pale, fair one gazing out of the window. She has lovely hair, and looks as if she knew a thing or two about dreams. I d like to know them both--know them well--well enough to walk with my arm about their waists, and call them nicknames. But just now I don t know them and they don t know me, and probably don t want to know me particularly. Oh, it s lonesome!" It was lonesomer still when Anne found herself alone in her hall bedroom that night at twilight. She was not to board with the other girls, who all had relatives in town to take pity on them. Miss Josephine Barry would have liked to board her, but Beechwood was so far from the Academy that it was out of the question; so miss Barry hunted up a boarding-house, assuring Matthew and Marilla that it was the very place for Anne. "The lady who keeps it is a reduced gentlewoman," explained Miss Barry. "Her husband was a British officer, and she is very careful what sort of boarders she takes. Anne will not meet with any objectionable persons under her roof. The table is good, and the house is near the Academy, in a quiet neighborhood." All this might be quite true, and indeed, proved to be so, but it did not materially help Anne in the first agony of homesickness that seized upon her. She looked dismally about her narrow little room, with its dull-papered, pictureless walls, its small iron bedstead and empty book- case; and a horrible choke came into her throat as she thought of her own white room at Green Gables, where she would have the pleasant consciousness of a great green still outdoors, of sweet peas growing in the garden, and moonlight falling on the orchard, of the brook below the slope and the spruce boughs tossing in the night wind beyond it, of a vast starry sky, and the light from Diana s window shining out through the gap in the trees. Here there was nothing of this; Anne knew that outside of her window was a hard street, with a network of telephone wires shutting out the sky, the tramp of alien feet, and a thousand lights gleaming on stranger faces. She knew that she was going to cry, and fought against it. "I WON T cry. It s silly--and weak--there s the third tear splashing down by my nose. There are more coming! I must think of something funny to stop them. But there s nothing funny except what is connected with Avonlea, and that only makes things worse--four--five--I m going home next Friday, but that seems a hundred years away. Oh, Matthew is nearly home by now--and Marilla is at the gate, looking down the lane for him--six--seven--eight-- oh, there s no use in counting them! They re coming in a flood presently. I can t cheer up--I don t WANT to cheer up. It s nicer to be miserable!" The flood of tears would have come, no doubt, had not Josie Pye appeared at that moment. In the joy of seeing a familiar face Anne forgot that there had never been much love lost between her and Josie. As a part of Avonlea life even a Pye was welcome. "I m so glad you came up," Anne said sincerely. "You ve been crying," remarked Josie, with aggravating pity. "I suppose you re homesick--some people have so little self-control in that respect. I ve no intention of being homesick, I can tell you. Town s too jolly after that poky old Avonlea. I wonder how I ever existed there so long. You shouldn t cry, Anne; it isn t becoming, for your nose and eyes get red, and then you seem ALL red. I d a perfectly scrumptious time in the Academy today. Our French professor is simply a duck. His moustache would give you kerwollowps of the heart. Have you anything eatable around, Anne? I m literally starving. Ah, I guessed likely Marilla d load you up with cake. That s why I called round. Otherwise I d have gone to the park to hear the band play with Frank Stockley. He boards same place as I do, and he s a sport. He noticed you in class today, and asked me who the red-headed girl was. I told him you were an orphan that the Cuthberts had adopted, and nobody knew very much about what you d been before that." Anne was wondering if, after all, solitude and tears were not more satisfactory than Josie Pye s companionship when Jane and Ruby appeared, each with an inch of Queen s color ribbon--purple and scarlet--pinned proudly to her coat. As Josie was not "speaking" to Jane just then she had to subside into comparative harmlessness. "Well," said Jane with a sigh, "I feel as if I d lived many moons since the morning. I ought to be home studying my Virgil--that horrid old professor gave us twenty lines to start in on tomorrow. But I simply couldn t settle down to study tonight. Anne, methinks I see the traces of tears. If you ve been crying DO own up. It will restore my self-respect, for I was shedding tears freely before Ruby came along. I don t mind being a goose so much if somebody else is goosey, too. Cake? You ll give me a teeny piece, won t you? Thank you. It has the real Avonlea flavor." Ruby, perceiving the Queen s calendar lying on the table, wanted to know if Anne meant to try for the gold medal. Anne blushed and admitted she was thinking of it. "Oh, that reminds me," said Josie, "Queen s is to get one of the Avery scholarships after all. The word came today. Frank Stockley told me--his uncle is one of the board of governors, you know. It will be announced in the Academy tomorrow." An Avery scholarship! Anne felt her heart beat more quickly, and the horizons of her ambition shifted and broadened as if by magic. Before Josie had told the news Anne s highest pinnacle of aspiration had been a teacher s provincial license, First Class, at the end of the year, and perhaps the medal! But now in one moment Anne saw herself winning the Avery scholarship, taking an Arts course at Redmond College, and graduating in a gown and mortar board, before the echo of Josie s words had died away. For the Avery scholarship was in English, and Anne felt that here her foot was on native heath. A wealthy manufacturer of New Brunswick had died and left part of his fortune to endow a large number of scholarships to be distributed among the various high schools and academies of the Maritime Provinces, according to their respective standings. There had been much doubt whether one would be allotted to Queen s, but the matter was settled at last, and at the end of the year the graduate who made the highest mark in English and English Literature would win the scholarship-- two hundred and fifty dollars a year for four years at Redmond College. No wonder that Anne went to bed that night with tingling cheeks! "I ll win that scholarship if hard work can do it," she resolved. "Wouldn t Matthew be proud if I got to be a B.A.? Oh, it s delightful to have ambitions. I m so glad I have such a lot. And there never seems to be any end to them-- that s the best of it. Just as soon as you attain to one ambition you see another one glittering higher up still. It does make life so interesting." CHAPTER XXXIII UP CHAPTER XXXV 今日 - | 昨日 - | Total - since 05 June 2007 last update 2007-06-05 01 16 58 (Tue)
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sbtのセットアップの手順 もう全部ここのサイトを参照して http //scalajp.github.com/sbt-getting-started-guide-ja/ 0. 本家 http //www.scala-sbt.org/release/docs/Getting-Started/Setup ちなみにAPIのリファレンスはここ http //www.scala-lang.org/api/current/index.html#package Zipで欲しい人はこっち http //www.scala-lang.org/downloads 1. 本体のダウンロード http //typesafe.artifactoryonline.com/typesafe/ivy-releases/org.scala-sbt/ sbt-launch.jarをダウンロード 2. 起動スクリプト作成 for Windows 「sbt.bat」を作る @echo off set SCRIPT_DIR=%~dp0 java -Xmx512M -jar "%SCRIPT_DIR%sbt-launch.jar" %* もしくはこっち(多分こっちが動くはず) set SCRIPT_DIR=%~dp0 java -Xms512M -Xmx512M -Xss1M -XX +CMSClassUnloadingEnabled -XX MaxPermSize=384M -jar "%SCRIPT_DIR%sbt-launch.jar" %* for *nux 「sbt」を作る #!/bin/sh java -Xmx512M -jar dirname $0 /sbt-lauch.jar "$@" この起動スクリプトを配置したディレクトリに、環境変数PATHを通せばsbtのセットアップは完了です build.sbtの例 name = "hello" version = "1.0" scalaVersion = "2.9.2"
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Infantry Assault Grenadier Heavy Infantry Contents 1 Assault Grenadier Heavy Infantry Veterancy 2 Tactics 3 History 4 Built From 4.1 Panzer-Jager Kommand 5 Can Construct 5.1 Logistik Kompanie 5.2 Kampfgruppe Kompanie 5.3 Panzer-Jager Kommand 5.4 Panzer-Support Kommand 6 Doctrinal Abilities 6.1 Road Blocks 6.2 Scorched Earth 6.3 Booby Trap Building 6.4 Booby Traps 6.5 Tank Awareness 6.6 Teller Mines 7 Squad Abilities 7.1 Repair 7.2 Throw Anti Tank Grenade 7.3 Throw Incendiary Grenade 7.4 Advanced Repair 7.5 Sprint 8 Squad Upgrades 8.1 Field Craft 8.2 Increase Squad Sizes 8.3 Advanced Repair 8.4 Anti Tank Grenades 8.5 Incendiary Grenades 8.6 Group Zeal 8.7 Veteran Sergeant 9 Squad Weapons 9.1 Panzer Elite Kar98K 9.2 MP44 Assault Rifle 9.3 Incendiary Grenade 9.4 Anti Tank Grenade 9.5 Booby Trap 9.6 Teller Mine Assault Grenadier Heavy Infantry Squad Size 3 Capture Rate 0.75 Sup Threshold 0.2 Health 165 Sight 35 Pin Threshold 0.65 Cost 255 Detection 7/0 Recovery Rate 0.007 Hotkey G Population 3 Time 25.5 Retreat Modifier 0.5 Target Type infantry_soldier Upkeep 6.0048 Reinforce Cost 0.53 Critical Type infantry Squad Slots 5 Reinforce Time 1 Assault Grenadier Heavy Infantry Veterancy [Expand][Hide] Received Damage Received Suppression Maximum Health Health Regeneration 0.95 0.85 1.1 3.36/min Accuracy Reload Cooldown Penetration 1.15 0.9 0.9 1.15 12 Vet-Exp Received Damage Received Suppression Maximum Health Health Regeneration 0.95 0.85 1.1 3.36/min Accuracy Reload Cooldown Penetration 1.15 0.9 0.9 1.15 26 Vet-Exp Received Damage Received Suppression Maximum Health Health Regeneration Received Accuracy 0.95 0.85 1.1 3.36/min 0.95 Accuracy Reload Cooldown Penetration 1.15 0.9 0.9 1.15 40 Vet-Exp Tactics Assault Grenadiers are best used in close quarters due to their ability to devastate infantry in close range. Assault Grenadiers can be produced through the HQ also, it is a good idea on munitions heavy maps to build standard Panzer Grenadier s and use the MP44 upgrade to save 105 manpower! History Panzergrenadiers were the infantry assigned to Panzer and Panzergrenadier divisions, and were the bulk of the fighting force in those formations. Transported either in trucks or SdKfz 251/1 half-tracks, the role of the Panzergrenadier was to support the tanks when in offense, or defend ground recently secured by the tanks. Their squads were armed with twice as many MG34 or MG42 light machine-guns than the regular Grenadiers, and their support weapons were nearly all towed or mounted in vehicles. The Panzergrenadiers in Company of Heroes appear to be from the Panzeraufklärungsabteilung (Mechanized Reconnaissance Battalion) of a Panzer or Panzergrenadier division, due to the SdKfz 250 light half-tracks they are using, and the reference to Spähtrupp in their speech (Spähtrupp means scout patrol). Built From Panzer-Jager Kommand [Expand][Hide] Health 1000 Target Type building Cost 22030 Critical Type building Time 115 Hotkey J Effects Initially produces Assault Grenadiers and a 20mm Armored Car. Can be upgraded to produce the Marder III Tank Hunter. Infantry can be improved via the Group Zeal upgrade. ESee Structure Panzer-Jager Kommand for details. Can Construct Logistik Kompanie [Expand][Hide] Health 1000 Target Type building Cost 22020 Critical Type building Time 115 Hotkey L Effects Makes available the Scout Car, Munitions Halftrack and 250/3 Funkwagen Vampire Halftrack. Upgrades will equip squads with Anti Tank Grenades and increase the size of infantry squads. ESee Structure Logistik Kompanie for details. Kampfgruppe Kompanie [Expand][Hide] Health 1000 Target Type building Cost 22020 Critical Type building Time 115 Hotkey K Effects Makes available the Infantry Halftrack, Mortar Halftrack, and Tank Buster Squads. Available upgrades can increase territory capture rate of Infantry squads and improve their repair skills. ESee Structure Kampfgruppe Kompanie for details. Panzer-Jager Kommand [Expand][Hide] Health 1000 Target Type building Cost 22030 Critical Type building Time 115 Hotkey J Effects Initially produces Assault Grenadiers and a 20mm Armored Car. Can be upgraded to produce the Marder III Tank Hunter. Infantry can be improved via the Group Zeal upgrade. ESee Structure Panzer-Jager Kommand for details. Panzer-Support Kommand [Expand][Hide] Health 1000 Target Type building Cost 22030 Critical Type building Time 115 Hotkey S Effects Initially produces the 250/10 Light Anti Tank Halftrack and Bergetiger Repair and Recovery vehicle. Can be upgraded to produce the Panzer IV Infantry Support Tank. A Veteran Sergeant makes squads tougher, harder to suppress, and gain experience more rapidly. ESee Structure Panzer-Support Kommand for details. Doctrinal Abilities Road Blocks [Expand][Hide] Health 750 Target Type defenses Cost Critical Type defenses Time 20 Hotkey R Effects Road Blocks are extremely tough piles of junk material scraped together to block off an area. Roadblocks must be destroyed and cannot be crushed by any tank. ESee Structure Road Blocks for details. Scorched Earth [Expand][Hide] Cost Activation targeted Duration _ Target tp_entity Recharge 0 Hotkey C Effects Disable a Strategic Point so it cannot be captured. ESee Ability Scorched Earth for details. Booby Trap Building [Expand][Hide] Cost Activation targeted Duration _ Target tp_any Recharge 10 Hotkey Effects Order this squad to prepare the target building with booby traps that will be triggered by enemy units. ESee Ability Booby Trap Building for details. Booby Traps [Expand][Hide] Cost Activation targeted Duration _ Target tp_any Recharge 25 Hotkey Y Effects Wire strategic points and ambient buildings to explode when enemies begin capturing point, or enter building. ESee Ability Booby Traps for details. Tank Awareness [Expand][Hide] Cost 1 Time Hotkey Effects Panzer Elite infantry use their improved battlefield skills to detect enemy tanks at ranges beyond which they can see. ESee Upgrade Tank Awareness for details. Teller Mines [Expand][Hide] Cost 1 Time Hotkey Effects Panzer Elite infantry can deploy Teller Mines. These weapons require great mass to trigger, meaning only vehicles will cause the mine to explode. ESee Upgrade Teller Mines for details. Squad Abilities Repair [Expand][Hide] Cost Activation targeted Duration 0 Target tp_entity_and_squad_entity Recharge 0 Hotkey E Effects Repair a Structure or Vehicle for a nominal Resource cost. ESee Ability Repair for details. Throw Anti Tank Grenade [Expand][Hide] Cost 20 Activation targeted Duration _ Target tp_any Recharge 240 Hotkey K Effects Throw an effective Anti Tank Grenade. This Grenade is not effective against infantry units in cover. ESee Ability Throw Anti Tank Grenade for details. Throw Incendiary Grenade [Expand][Hide] Cost 15 Activation targeted Duration _ Target tp_any Recharge 240 Hotkey N Effects The squad will throw a chemical Incendiary Grenade that will burn the selected area for a period of time. ESee Ability Throw Incendiary Grenade for details. Advanced Repair [Expand][Hide] Cost Activation targeted Duration 0 Target tp_entity_and_squad_entity Recharge 0 Hotkey E Effects Repair a Structure or Vehicle for a nominal Resource cost. ESee Ability Advanced Repair for details. Sprint [Expand][Hide] Cost Activation timed Duration 15 Target tp_any Recharge 60 Hotkey S Effects Sprinting will make a squad move faster for a short time. ESee Ability Sprint for details. Squad Upgrades Field Craft [Expand][Hide] Cost 16020 Time 35 Hotkey C Effects Increase the Capture Rate of your Panzer Grenadier, Assault Grenadier, and Tank Buster squads. When static, these squads are also trained to spot enemy mines. ESee Upgrade Field Craft for details. Increase Squad Sizes [Expand][Hide] Cost 16025 Time 35 Hotkey I Effects Increase Panzer Grenadier, Assault Grenadier, and Tank Buster squad sizes. ESee Upgrade Increase Squad Sizes for details. Advanced Repair [Expand][Hide] Cost 22035 Time 35 Hotkey E Effects Upgrade the repair rate of your Panzer Grenadiers, Assault Grenadiers, and Tank Busters. ESee Upgrade Advanced Repair for details. Anti Tank Grenades [Expand][Hide] Cost 15020 Time 35 Hotkey A Effects Enables Anti Tank Grenades on your Panzer Grenadier, Assault Grenadier, and Tank Buster squads. ESee Upgrade Anti Tank Grenades for details. Incendiary Grenades [Expand][Hide] Cost 12020 Time 35 Hotkey N Effects Enables most Panzer Infantry with Incendiary Grenades that will burn an area for a period of time. ESee Upgrade Incendiary Grenades for details. Group Zeal [Expand][Hide] Cost 24040 Time 35 Hotkey Z Effects Panzer Grenadiers, Assault Grenadiers, and Tank Busters are tougher when grouped together. ESee Upgrade Group Zeal for details. Veteran Sergeant [Expand][Hide] Cost 24040 Time 35 Hotkey V Effects Upgrade your Panzer Grenadier, Assault Grenadier, and Tank Buster squads with a Veteran Sergeant who increases the rate squads receive veterancy and reduces the amount of suppression they receive. ESee Upgrade Veteran Sergeant for details. Squad Weapons Panzer Elite Kar98K [Expand][Hide] Weapon Panzer Elite Kar98K See Weapon Panzer Elite Kar98K for details. MP44 Assault Rifle [Expand][Hide] Weapon MP44 Assault Rifle See Weapon MP44 Assault Rifle for details. Incendiary Grenade [Expand][Hide] Weapon Incendiary Grenade See Weapon Incendiary Grenade for details. Anti Tank Grenade [Expand][Hide] Weapon Anti Tank Grenade See Weapon Anti Tank Grenade for details. Booby Trap [Expand][Hide] Weapon Booby Trap See Weapon Booby Trap for details. Teller Mine [Expand][Hide] Weapon Teller Mine See Weapon Teller Mine for details. Retrieved from http //coh-stats.com/Infantry Assault_Grenadier_Heavy_Infantry
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iPad公式AppからJailbreakまで http //www.apple.com/jp/ipad/ iPad公式AppからJailbreakまでiPadのおすすめゲーム 仕事役立ち 個人的には必要ないけど、おすすめとされているAPp Jailbreakするその前にSHSHを保存JBツールをダウンロード Red Snow Ultra Snow iOSカスタムフォームウェア Jailbreakしたあとは?リポジトリの追加 JailbreakAppのインストール iPadのおすすめ (とりあえず、無料で試してみたい方はゲーム;BugHeroesHD,AngryBirdsHDFree, 2chブラウザ:Mosa, RSSリーダー:NetNewsWire) ゲーム 0円 Bug Heroes HD iPadに最適化されたアクションゲーム!無料なのでとにかく入れてみよう、英語版しかないから何言ってるかわからないかもしれないけど、シューティングゲームやったことある人ならハマると思います。 0円 Angry Birds HD Free もはやiPhone版では定番となったゲーム。キャラも可愛くフィギュア化すらされている。一度お試しあれ! 1800円 Final Fantasy3 国民的RPG、FF3のリメイク版iPhone版だけどiPadでやっても全然見劣りしない 600円 Flight Control HD 様々な角度から飛んでくる飛行機をぶつからないように上手に誘導するフライトゲーム 600円 ACE COMBAT Xi Skies of Incursion iPadに最適化されたエースコンバット。ジャイロで操作するため、遊んでる姿は滑稽かも。(でも面白いです。 仕事役立ち 1200円 Keynote 言わずと知れたプレゼンソフト。Mac使ってプレゼンする人は一度これを使ってプレゼンするに憧れていますが、やるには勇気が必要です(笑:まだ市民権を得てないですから 115円 Maven Web Browser iPadで最強のWebブラウザーだと思ってます。Safariよりも格段に操作しやすい! 2000円 Documents To Go® Premium MS Officeのデータを編集できます。2000円のプレミアム版を買うのが吉 600円 Reeder for iPad RSSリーダー 1200円 NetNewsWire RSSリーダーReederの方を買っておいたほうがいいと思う。 2800円 ウィズダム英和・和英辞典 定番の辞典ちょっと高いけどUIは最高に使いやすい。 600円 UPAD iPad手書きメモApp、7noteの方が優秀? 1600円 The Elements 周期表を感動的に見せるApp、学校の先生は是非購入! 0円 Mosa iPadに最適化された2ちゃんブラウザ 0 or 350円 Downloads HD Free版のリンクを張っておいたので是非試してみてください! cc円 Air Sharing HD ファイルサーバー 個人的には必要ないけど、おすすめとされているAPp cc円 iMovie? ddd 2200円 Starmap HD 天体観測App 350円 StarWalk 天体観測App/Starmapよりこっちがお得 230円 KoiPond グラフィックが綺麗な仮想池 cc円 MathFormulas よくある数式辞典 cc円 MapFan? ddd cc円 PDFReader? ddd cc円 SugarSync? ddd cc円 Pastebot? ddd cc円 RDP? ddd cc円 VNC Viewer? ddd cc円 Dropbox? ddd Jailbreakするその前に SHSHを保存 公式HP http //thefirmwareumbrella.blogspot.com/2010/07/tinyumbrella-multi-device.html 使い方はこちら http //apple-voice.com/wordpress/2010/06/how-to-use-tinyumbrella4-ios4/ JBツールをダウンロード 各iOS Versionに対応したツールを使いましょう。 Red Snow http //blog.iphone-dev.org/ ファイル直リン/edsn0w_mac_0.9.6rc14.zip https //sites.google.com/a/iphone-dev.com/files/home/redsn0w_mac_0.9.6rc14.zip?attredirects=0&d=1 Ultra Snow http //blog.iphone-dev.org/ iOSカスタムフォームウェア http //apple-voice.com/wordpress/fw-dl/ Jailbreakしたあとは? リポジトリの追加 http //apt.thebigboss.org/repofiles/cydia/ http //cydia.zodttd.com/repo/cydia/dists/stable http //apt.saurik.com/cydia/ http //sinfuliphonerepo.com/ http //apt.modmyi.com/dists/stable http //hitoriblog.com/apt/ JailbreakAppのインストール SBSettings:システム設定を簡単にできる! Safari Download Manager:safariでファイルをダウンロード iFile:おなじみのファイラー iKeyHoleTV:P2PでTVが見れます CyDlelete:Cydiaでインストールしたものを公式Appと同様に削除可能
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CentOSにインストール https //developer.nvidia.com/cuda-downloads?target_os=Linux target_arch=x86_64 target_distro=CentOS target_version=7 target_type=runfilelocal 必要なソフトのインストール yum install pciutils yum install gcc yum install kernel-devel-$(uname -r) kernel-headers-$(uname -r) wget http //developer.download.nvidia.com/compute/cuda/repos/rhel7/x86_64/cuda-repo-rhel7-9.1.85-1.x86_64.rpm sudo rpm -i cuda-repo-rhel7-9.1.85-1.x86_64.rpm sudo yum clean all sudo yum install cuda ベースのドライバをインストール www.nvidia.com/driversからダウンロード NVIDIA GeForece GTX 1050 Ti ベース部分のインストール wget https //developer.nvidia.com/compute/cuda/9.1/Prod/local_installers/cuda_9.1.85_387.26_linux sudo sh cuda_9.1.85_387.26_linux パッチ wget https //developer.nvidia.com/compute/cuda/9.1/Prod/patches/1/cuda_9.1.85.1_linux sudo sh cuda_9.1.85.1_linux
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