UCI ISG Lecture Series on Scalable Data ManagementHadoop: Origins and Applications Chris Smith, Xavier Stevens and John Carnahan, FOX Audience Network
自律分散å”調システム論 (2008年春å¦æœŸ)
自律分散å”調システム論 (Autonomous, Distributed, and Cooperative Systems) Autonomous, Distributed, and Cooperative Systems(2008 Spring Term) 慶應義塾大å¦é™¢ã€€æ”¿ç–ãƒ»ãƒ¡ãƒ‡ã‚£ã‚¢ç ”ç©¶ç§‘ Keio University, Graduate School of Media and Governance 徳田英幸, ä¸æ‘ä¿® Hideyuki Tokuda, Osamu Nakamura 月曜日 4 é™(14:45〜16:15) @ t11 Monday 4 (14:45〜16:15) @ t11
Distributed Information System Design
2007年度春å¦æœŸ 木曜日2æ™‚é™ ç§‘ç›®ã‚³ãƒ¼ãƒ‰: 45110 / 2å˜ä½ カテゴリ: å…ˆç«¯é–‹æ‹“ç§‘ç›®â€”ç’°å¢ƒæƒ…å ±â€”æƒ…å ±ã¨ãƒ¡ãƒ‡ã‚£ã‚¢(å¦éƒ¨) é–‹è¬›å ´æ‰€ï¼šSFC, ε21 授æ¥å½¢æ…‹ï¼šè¬›ç¾©ï¼Œæ¼”習，グループワーク 担当: è©é‡Ž é”ä¹Ÿï¼ŒèŠ¦æ‘ å’Œå¹¸ï¼ŒçŸ³å· é›…åº·ï¼Œã‚ªãƒªãƒ“ã‚¨ テãƒï¼ŒåŠ è—¤ 文彦，ä½ã€…木 フェリックス，デュボスト カール E-mail: dis@tom.sfc.keio.ac.jp æ¦‚è¦ Web全体ã®ã‚¢ãƒ¼ã‚テクãƒãƒ£ã‚’ç†è§£ã—ãŸå¾Œã«ï¼ŒWebã®ã•ã¾ã–ã¾ãªæŠ€è¡“ã«ã¤ã„ã¦å¦ã³ã¾ã™ï¼Ž XML，XHTML，Webサービスãªã©ã®å€‹ã€…ã®æŠ€è¡“，アクセシビリティや国際化， モãƒã‚¤ãƒ«ãªã©ã®åˆ†é‡Žæ¨ªæ–çš„ãªæŠ€è¡“ãªã©ã«ã¤ã„ã¦ã‚‚å–り上ã’ã¾ã™ï¼Ž ã“ã®è¬›ç¾©ã§ã¯ã‚°ãƒ«ãƒ¼ãƒ—毎ã«åˆ†ã‹ã‚Œã¦ï¼Œ å¦ã‚“ã 技術を用ã„ãŸæœ€é©ãªWebシステムã®ãƒ‡ã‚¶ã‚¤ãƒ³ã‚’ã—ã¦ã‚‚らã„ã¾ã™ï¼Ž å‚考文献 Webã«é–¢ã™ã‚‹ä»•æ§˜ã«ã¤ã„ã¦ã¯http://www.w3.org/TR/
CS224n: Natural Language Processing with Deep Learning
Schedule and Syllabus Unless otherwise specified the course lectures and meeting times are: Tuesday, Thursday 4:30-5:50 Location: NVIDIA Auditorium
3 Rules of Thumb When Designing Visualization
Bernard Kerr, the lead designer for del.icio.us, gave an interesting talk (below) focused on remail (mentioned here) and tagorbitals. At the end, he offers three important lessons. Reduce Multidimensional Data After showing many thread arc versions, Kerr says that when you are dealing with multidimensional data, pick two variables; otherwise, you’re going to end up with a big mess. He says this li
Multiclass classification pointers
S.Godbole, S. Sarawagi, S. Chakrabarti, Scaling multi-class Support Vector Machines using inter-class confusion, KDD 02  Multiclass SVMsee the Hsu and Lin paper below for a survey and references therein Multiclass by combination of binary classifiers R Rifkin, A Klautau  In Defense of One-Vs-All Classification,   - The Journal of Machine Learning Research, 2004 A very nice paper that gives an o
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