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s-feng id:s-feng

SVMã«é–¢ã™ã‚‹s-fengã®ãƒ–ãƒƒã‚¯ãƒžãƒ¼ã‚¯ (20)

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s-feng 2017/10/30
SVM

timeseq

presentation

tutorial
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s-feng 2016/06/02
AI

SVM

ML

deepLearning

tutorial

visualization
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s-feng 2015/10/29
deeplearning

python

SVM
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Ersatzlabs - Technology, AI & Deep Learning
Are you looking for the best RTX 2080 Super graphics? If, yes, then you have indeed come to the right place. One of the great benefits of RTX 2080 Supergraphicsâ€¦
s-feng 2014/12/16
cloud

deepLearning

AI

SVM

webservice
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2. è‡ªå·±ç´¹ä»‹ @kakenman è¶£å‘³ æœ€è¿‘ã®å‹•å‘ çµ„ã¿è¾¼ã¿ãƒ—ãƒã‚°ãƒ©ãƒŸãƒ³ã‚° æˆã‚Šè¡Œãä¸ŠæŸMç¤¾ã¨ã„ã†å¤–è³‡ Python ã®ã‚³ãƒ³ã‚µãƒ«ã«å°±è·ã™ã‚‹ã“ã¨ã« ã‚µãƒ¼ãƒç®¡ç† ãªã£ãŸã®ã§ï¼Œã›ã£ã‹ãã ã‹ã‚‰ VMéŠã³(ç‰¹ã«KVM) ã“ã‚Œã¾ã§ã®çŸ¥è˜ã‚’ä½•ã‹ã«å½¹ç«‹ é‡‘å±žæº¶æŽ¥ ã¦ãŸã„æ°—åˆ† é‡‘å±žåŠ å·¥ é›»åå·¥ä½œ â†ä»–ã®ã‚‚è¦æœ›ã‚ã‚Œã°ã‚„ã‚Šã¾ã™ ä»Šå›žã¯ã“ã‚Œ æ©Ÿæ¢°å¦ç¿’ ã‚ˆï¼TIGæº¶æŽ¥ã¯ä»»ã›ã‚ï¼ è‡ªç„¶è¨€èªžå‡¦ç† æœªæ¥ã‚¬ã‚¸ã‚§ãƒƒãƒˆè£½ä½œ ç‰§ç€¬ç´…èŽ‰æ – 3. ã‚«ãƒ¼ãƒãƒ«æ³•ã¨SVM â€¢ ã‚¬ãƒå‹¢çš„ã«ã¯ä½¿ã„å¤ã•ã‚ŒãŸæ‰‹æ³• â€¢ ä¸€æ–¹ã§åå‰ã ã‘çŸ¥ã£ã¦ã‚‹ã£ã¦äººã‚‚å¤šã„ â€¢ ã€Œã‚ï¼Œã‚ãƒ¼SVMããƒ¼ï¼ˆã‚ˆãåˆ†ã‹ã£ã¦ãªã„ã‘ã©ï¼‰ã€ â€¢ ã€Œã‚ï¼Œã‚ãƒ¼ã‚«ãƒ¼ãƒãƒ«ãƒˆãƒªãƒƒã‚¯ããƒ¼ï¼ˆå…¨ç„¶åˆ†ã‹ã‚‰ãª ã„ã‘ã©ï¼‰ã€ â€¢ ä»Šæ—¥ã¯ãã‚“ãªæ„Ÿã˜ã®æ–¹å‘ã‘ 4. æœ¬æ—¥ã®ã¯ãªã— â€¢ ç¬¬ä¸€éƒ¨ï¼šã‚«ãƒ¼ãƒãƒ«æ³• â€¢ ç¬¬äºŒéƒ¨ï¼šã‚µãƒãƒ¼ãƒˆãƒ™ã‚¯ã‚¿ãƒ¼ãƒžã‚·ãƒ³ æº–å‚™æœŸé–“ã®é–¢ä¿‚ã§ç¬¬ä¸€éƒ¨ã§åŠ›å°½ããŸæ„Ÿã‚ã‚Šãƒ»ãƒ»ãƒ» å°Žå‡ºã®æ‰‹é †ã¯è‰²ã€…ã‚ã‚Šã¾ã™ãŒ
s-feng 2013/11/24
presentation

SVM

tutorial
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æ©Ÿæ¢°å¦ç¿’è¶…å…¥é–€IV ã€œSVM(ã‚µãƒãƒ¼ãƒˆãƒ™ã‚¯ã‚¿ãƒ¼ãƒžã‚·ãƒ³)ã ã£ã¦30åˆ†ã§ä½œã‚Œã¡ã‚ƒã†â˜†ã€œ - EchizenBlog-Zwei
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s-feng 2011/06/28
AI

program

perl

SVM
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ã‚µãƒãƒ¼ãƒˆãƒ™ã‚¯ãƒˆãƒ«ãƒžã‚·ãƒ³ï¼Œkemba-svm.exe
SVMã‚’ä½¿ã†ã«ã¯ã‚«ãƒ¼ãƒãƒ«ã¨å‘¼ã°ã‚Œã‚‹ã‚‚ã®ã‚’é¸æŠžã—ãªã‘ã‚Œã°ãªã‚‰ãªã„ï¼Žkemba-svm.exe ãŒã‚µãƒãƒ¼ãƒˆã—ã¦ã„ã‚‹ã‚«ãƒ¼ãƒãƒ«ã¯ ç·šå½¢ã‚«ãƒ¼ãƒãƒ« RBFã‚«ãƒ¼ãƒãƒ« å¤šé …å¼ã‚«ãƒ¼ãƒãƒ« partial distance ã‚«ãƒ¼ãƒãƒ«[1] ã®ï¼”ã¤ã§ã‚ã‚‹ï¼Žãã®ã»ã‹ã«äºˆã‚è¨ˆç®—æ¸ˆã¿ã®ã‚«ãƒ¼ãƒãƒ«è¡Œåˆ—ã‹ã‚‰SVMã‚’å‹•ã‹ã™ã“ã¨ã‚‚ã§ãã‚‹ãŒã“ã“ã§ã¯èª¬æ˜Žã—ãªã„ï¼Ž SVMã‚’ä½¿ã†ã«ã¯ã‚«ãƒ¼ãƒãƒ«ã¨å‘¼ã°ã‚Œã‚‹ã‚‚ã®ã‚’é¸æŠžã—ãªã‘ã‚Œã°ãªã‚‰ãªã„ï¼Žç¾åœ¨ libsvm ãŒã‚µãƒãƒ¼ãƒˆã—ã¦ã„ã‚‹ã‚«ãƒ¼ãƒãƒ«ã¯ ç·šå½¢ã‚«ãƒ¼ãƒãƒ« RBFã‚«ãƒ¼ãƒãƒ« å¤šé …å¼ã‚«ãƒ¼ãƒãƒ« ã‚·ã‚°ãƒ¢ã‚¤ãƒ‰ã‚«ãƒ¼ãƒãƒ« ã®ï¼”ã¤ã§ã‚ã‚‹ï¼ŽãŸã ã—ï¼Œã‚·ã‚°ãƒ¢ã‚¤ãƒ‰ã‚«ãƒ¼ãƒãƒ«ã¯åŠæ£å®šå€¤ã‚«ãƒ¼ãƒãƒ«ã§ã¯ãªã„ã®ã§ï¼Œã‚·ã‚°ãƒ¢ã‚¤ãƒ‰ã‚«ãƒ¼ãƒãƒ«ã‚’ä½¿ã£ãŸå ´åˆã¯SVMå¦ç¿’ã®ç†è«–ä¿è¨¼ã¯ä¸€èˆ¬ã«å¾—ã‚‰ã‚Œãªã„(ãƒ‘ãƒ©ãƒ¡ãƒ¼ã‚¿ã®é¸ã³æ–¹ã«ã‚ˆã£ã¦ã¯åŠæ£å®šå€¤ã‚«ãƒ¼ãƒãƒ«ã«ãªã‚‹å ´åˆã‚‚ã‚ã‚‹)ï¼Žãã®ã»ã‹ã«äºˆã‚è¨ˆç®—æ¸ˆã¿ã®ã‚«ãƒ¼ãƒãƒ«è¡Œåˆ—ã‹ã‚‰SVMã‚’å‹•ã‹ã™ã“ã¨ã‚‚ã§ãã‚‹ãŒã“ã“ã§ã¯èª¬æ˜Žã—ãªã„ï¼Ž
s-feng 2009/12/24
AI

SVM

program
ãƒªãƒ³ã‚¯
æ–°æ‘ç§€ä¸€ç ”ç©¶å®¤
s-feng 2007/01/05
lab

datamining

SVM
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DANG LABORATORY
Communication using speech production and speech perception is one of the basic ways for human to exchange information. Fully understanding such mechanisms of human.... Research Topic Topic Speech Production Mechanisms and Their Modeling. Speech Cognitive Science. Speech Communication within The Brain. Speech Synthesis with Specific Individuality and Emotion. Speech Recognition Considering Auditor
s-feng 2006/12/26
DTAK-SVM ã®ææ¡ˆã€‚

SVM

article

pdf
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çµ±è¨ˆæ•°ç†ç ”ç©¶æ‰€ å…¬é–‹è¬›åº§ã€Œã‚«ãƒ¼ãƒãƒ«æ³•ã®æœ€å‰ç·š â€•ï¼³ï¼¶ï¼, éžç·šå½¢ãƒ‡ãƒ¼ã‚¿è§£æž, æ§‹é€ åŒ–ãƒ‡ãƒ¼ã‚¿â€•ã€
s-feng 2006/10/30
AI

SVM

textMining
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http://chasen.org/~taku/publications/nl138-slide.ppt
s-feng 2006/10/19
pdf

textMining

SVM

consolidation
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æ¥µæ€§åè»¢ã«å¯¾å¿œã—ãŸè©•ä¾¡è¡¨ç¾ãƒ¢ãƒ‡ãƒ« é«˜æ‘ å¤§ä¹Ÿâ€ ä¹¾ åå¸â€ â€ å¥¥æ‘ å¦â€ â€ æ±äº¬å·¥æ¥å¤§å¦ ç²¾å¯†å·¥å¦ç ”ç©¶æ‰€ ã€’ 226-8503 æ¨ªæµœå¸‚ç·‘åŒºé•·æ´¥ç”°ç”º 4259 â€ â€ æ—¥æœ¬å¦è¡“æŒ¯èˆˆä¼š {takamura,oku}@pi.titech.ac.jp, tinui@
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s-feng 2006/09/11
article

blog

textMining

SVM
ãƒªãƒ³ã‚¯
http://chasen.org/~taku/publications/nl142.pdf
s-feng 2006/09/11
textMining

SVM

article
ãƒªãƒ³ã‚¯
http://www.chasen.org/~taku/publications/ipsj2001j.pdf
s-feng 2006/09/11
article

textMining

SVM
ãƒªãƒ³ã‚¯
SVM - Support Vector Machines
DTREG is the ideal tool for modeling business and medical data with categorical variables such as sex, race and marital status. Decision trees present a clear, logical model that can be understood easily by people who are not mathematically inclined. If you have a need for linear or nonlinear regression analysis, check out the NLREG program. You also should check out the News Rover program that
s-feng 2006/09/06
SVM

ML

textMining

study
ãƒªãƒ³ã‚¯
support-vector-machines.org
This domain may be for sale!
s-feng 2006/09/06
SVM

ML

textMining
ãƒªãƒ³ã‚¯
http://www.bi.a.u-tokyo.ac.jp/~tak/index.html
s-feng 2006/09/06
ML

textMining

SVM
ãƒªãƒ³ã‚¯
http://cl.aist-nara.ac.jp/thesis/dthesis-kudo.pdf
s-feng 2006/09/06
textMining

SVM

ML

pdf

article
ãƒªãƒ³ã‚¯
Algorithm::SVM
NAME Algorithm::SVM - Perl bindings for the libsvm Support Vector Machine library. SYNOPSIS use Algorithm::SVM; # Load the model stored in the file 'sample.model' $svm = new Algorithm::SVM(Model => 'sample.model'); # Classify a dataset. $ds1 = new Algorithm::SVM::DataSet(Label => 1, Data => [0.12, 0.25, 0.33, 0.98]); $res = $svm->predict($ds); # Train a new SVM on some new datasets. $svm->train(@t
s-feng 2006/08/23
SVM

textMining
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Support Vector Machine
æœ€è¿‘ã‚ˆãå··ã§è€³ã«ã™ã‚‹ãƒ¢ãƒŽï¼Ž SVMï¼Œ Support Vector Machineï¼Œ ã•ã½ãƒ¼ã¨ã¹ããŸãƒ¼ã¾ã—ã‚“ï¼Ž ã“ã‚Œã£ã¦ã„ã£ãŸã„ï¼Œã©ã‚“ãªã‚‚ã‚“ãªã‚“ã§ã—ã‚‡ã†ï¼Ž ãªã«ã‚„ã‚‰ä¾¿åˆ©ãã†ãªãƒ¢ãƒŽã‚‰ã—ã„ã®ã§ï¼Œã¡ã‚‡ã„ã¨èª¿ã¹ã¦è¦ç‚¹ã‚’ã¾ã¨ã‚ã¦ã¿ã‚ˆã†ã‹ãªï¼Œãªã‚“ã¦ï¼Ž ã§ã‚‚ï¼ŒãŸã ã¾ã¨ã‚ãŸã ã‘ã ã¨ãã®ã¸ã‚“ã®è¨˜äº‹ã‚’èªã‚€ã®ã¨ãªã‚“ã«ã‚‚å¤‰ã‚ã‚‰ãªã„ã®ã§ï¼Œ ã‚³ãƒ¼ãƒ‡ã‚£ãƒ³ã‚°ã™ã‚‹ãŸã‚ã«å¿…è¦ãªçŸ¥è˜ã‚’ä¸å¿ƒã«ã¾ã¨ã‚ã¦ã¿ã‚‹ã“ã¨ã«ã—ã¾ã™ï¼Ž
s-feng 2006/07/25
SVM

textMining

study
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