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syou6162 2012/12/16
dp

Programming

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ã“ã®è¨˜äº‹ã¯ Competitive Programming Advent Calendar ã®ãŸã‚ã«ä½œæˆã•ã‚Œã¾ã—ãŸã€‚ ã€ŒDP (Dynamic Programminng: å‹•çš„è¨ˆç”»æ³•) ãŒã‚ˆãåˆ†ã‹ã‚‰ãªã„ã€ã¨ã„ã†ã¤ã¶ã‚„ãã‚’ã‚ˆãç›®ã«ã—ã¾ã™ã€‚ä½•ã‹ã‚‰ä½•ã¾ã§åˆ†ã‹ã‚‰ãªã„ã¨ã„ã†ã‚ã‘ã§ã¯ãªã„ã‘ã©ã€ ã€Œã“ã†ã„ã†DPã‚’ã™ã‚Œã°è§£ã‘ã‚‹ã‚ˆã€ã¨èª¬æ˜Žã•ã‚Œã‚Œã°ç†è§£ã§ãã‚‹ã‘ã©ã€ä¸€ã‹ã‚‰ãã‚Œã‚’æ€ã„ä»˜ã‘ãªã„ ãƒ¡ãƒ¢å†å¸°ã ã¨æ›¸ã‘ã‚‹ã‘ã©ãƒ«ãƒ¼ãƒ—ã ã¨æ›¸ã‘ãªã„ã€ã¾ãŸã¯ãã®é€† ã¨ã‹ã„ã†ã€‚ ã“ã®è¨˜äº‹ã¯ã€DPã¨ã„ã†æŠ€æ³•ã‚’ã‚ˆã‚Šæ·±ãç†è§£ã™ã‚‹æ‰‹åŠ©ã‘ã‚’ã™ã‚‹ã“ã¨ã‚’ç›®çš„ã¨ã—ã¦æ›¸ã‹ã‚Œã¦ã„ã¾ã™ã€‚ã“ã‚Œã‚’èªã‚ã°ã©ã‚“ãªDPã®å•é¡Œã‚‚ã•ãã•ãè§£ã‘ã‚‹ãƒ»ãƒ»ãƒ»ã“ã¨ã¯ãªã„ã¨æ€ã„ã¾ã™ãŒã€ã‚ã‚“ã¾ã‚Šæ‚©ã¾ãšã«å®Ÿè£…ã§ãã‚‹ã‚ˆã†ã«ãªã‚‹ãã‚‰ã„ã®åŠ¹æžœã¯ã‚ã‚‹ã‚“ã˜ã‚ƒãªã„ã‹ãªã¨æ€ã„ã¾ã™ã€‚æƒ³å®šã™ã‚‹èªè€…å±¤ã¯ã€ç°¡å˜ãªDPã®å•é¡Œã‚’ã„ãã¤ã‹è§£ã„ãŸã“ã¨ãŒã‚ã‚‹ã€TopCoderãƒ¬ãƒ¼ãƒ†ã‚£ãƒ³ã‚° 1500 æœªæº€ãã‚‰ã„ã®äººã¨
syou6162 2011/12/19
topcoder

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ICPC
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photogenic blue note "We cannot all do great things, but we can do small things with great love." ç©ºé–“XãŒã‚ã‚‹ã¨ã—ã‚ˆã†ã€‚ã“ã®ç©ºé–“ä¸Šã«å®šç¾©ã•ã‚ŒãŸé–¢æ•°ã‚’è€ƒãˆã‚‹ã€‚ã“ã®é–¢æ•°ãŒã©ã‚“ãªã‚‚ã®ã‹ã«ã¤ã„ã¦ã¯ã€æ¼ ç„¶ã¨ã€Xã®ä¸€éƒ¨åˆ†Aã«ã¤ã„ã¦ã€Aã®ç¯„å›²ã§ç©åˆ†ã‚’è¨ˆç®—ã§ãã‚‹ã€ãã‚‰ã„ã«æ€ã£ã¦ãŠãã€‚ã‚‚ã¡ã‚ã‚“ã€Xã®ä¸€éƒ¨åˆ†ã¨è¨€ãˆã‚‹ã‚‚ã®ã¯ã€ã„ã‚ã„ã‚ã‚ã‚Šãˆã‚‹ã€‚ãªãŠã€ã„ã¾è¨€ã£ãŸã€Œç©åˆ†ã€ãŒã©ã‚“ãªç©åˆ†ã‹ã¯ã€ã“ã“ã§ã¯åŽ³å¯†ã«ã¯è€ƒãˆãªã„ã“ã¨ã«ã™ã‚‹ã€‚ ã—ã‹ã‚‚ã€ã“ã®é–¢æ•°ã‚’ã€Xå…¨ä½“ã§ç©åˆ†ã™ã‚‹ã¨ã€1ã«ãªã‚‹ã¨ã—ã‚ˆã†ã€‚ãã†ã„ã†é–¢æ•°ã ã‘ã‚’è€ƒãˆã‚‹ã€‚ Xä¸Šã«å®šç¾©ã•ã‚ŒãŸé–¢æ•°ã§ã€Xå…¨ä½“ã§ç©åˆ†ã™ã‚‹ã¨1ã«ãªã‚‹ã‚‚ã®ã¯ã€ç„¡æ•°ã«ã‚ã‚‹ã€‚ã“ã‚Œã‚‰ç„¡æ•°ã«ã‚ã‚‹ã‚‚ã®ã®ä¸Šã«ã€ç¢ºçŽ‡åˆ†å¸ƒã‚’å®šç¾©ã™ã‚‹ã“ã¨ãŒã§ãã‚‹ã€‚æœ¬å½“ã«ã§ãã‚‹ã®ã‹ã©ã†ã‹ã¯ã€ã“ã“ã§ã¯æ°—ã«ã—ãªã„ã“ã¨ã«ã™ã‚‹ã€‚ã¨ã«ã‹ãã€ã§ãã‚‹ã€‚ ãƒ‡ã‚£ãƒªã‚¯
syou6162 2011/04/14
dp

machine learning
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syou6162 2011/02/18
dp

machine learning

nlp
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Scientific Programmes | Isaac Newton Institute for Mathematical Sciences
syou6162 2011/02/17
ã”ã”ã”ã”ã”ã”ã”ã”

dp

bayes

hmm

machine learning

nlp
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https://people.eecs.berkeley.edu/~jordan/papers/hierarchical-dp.pdf
syou6162 2010/12/23
dp

bayes
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https://people.eecs.berkeley.edu/~jordan/nips-tutorial05.ps
syou6162 2010/09/11
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nips

tutorial

dp
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http://www.gatsby.ucl.ac.uk/~ywteh/research/npbayes/dp.pdf
syou6162 2010/09/06
dp

machine learning
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ãƒ‡ã‚£ãƒªã‚¯ãƒ¬éŽç¨‹(Dirichlet Process)ã‚’èª¿æŸ»ä¸ - EchizenBlog-Zwei
ãã‚ãã‚éšŽå±¤ãƒ‡ã‚£ãƒªã‚¯ãƒ¬éŽç¨‹(Hierarchical Dirichlet Processes)ã‚’ç†è§£ã—ãŸã„æ°—åˆ†ã ã£ãŸã®ã§èª¿æŸ»ä¸ã€‚ã¨ã‚Šã‚ãˆãšãƒ‡ã‚£ãƒªã‚¯ãƒ¬éŽç¨‹ã«ã¤ã„ã¦ç¾æ™‚ç‚¹ã§ã®ç†è§£ã‚’ãƒ¡ãƒ¢ã—ã¦ãŠãã€‚é–“é•ã£ã¦ã‚‹å¯èƒ½æ€§ã‚‚ã‚ã‚‹ã®ã§æ‚ªã—ã‹ã‚‰ãšã€‚ ã‚„ã‚ŠãŸã„äº‹ã€‚ãƒ‡ãƒ¼ã‚¿ã®ç³»åˆ—x={x1, x2, ..., xn}ã«ã¤ã„ã¦ã€P(x)ã‚’æ±‚ã‚ãŸã„ã€‚ã‚‚ã—ãã¯P(x)ã‹ã‚‰xã‚’ã‚µãƒ³ãƒ—ãƒªãƒ³ã‚°ã—ãŸã„ã€‚ã“ã®P(x)ãŒãƒ‡ã‚£ãƒªã‚¯ãƒ¬éŽç¨‹ã€‚ äº‹å‰åˆ†å¸ƒã¨ã—ã¦G0ã¨ã„ã†åˆ†å¸ƒã‚’è€ƒãˆã‚‹ã€‚ã“ã®åˆ†å¸ƒã¯ä½•ã§ã‚‚è‰¯ãã€ã¨ã‚Šã‚ãˆãšæ£è¦åˆ†å¸ƒã¨ã‹ã‚’æ€ã„æãã¨è‰¯ã„ã€‚åŠ ãˆã¦Î±ã¨ã„ã†ã‚¹ã‚±ãƒ¼ãƒªãƒ³ã‚°ãƒ‘ãƒ©ãƒ¡ãƒ¼ã‚¿ã‚’ç”¨æ„ã™ã‚‹ã€‚ ã“ã®G0ã¨Î±ã‚’ãƒ‘ãƒ©ãƒ¡ãƒ¼ã‚¿ã¨ã—ãŸåˆ†å¸ƒDP(G; Î±, G0)ã‚’è€ƒãˆã‚‹ã€‚ã“ã‚Œã¯å…·ä½“çš„ã«ã¯Dir(Î±G0(x1), Î±G0(x2), ...)ã¨ã„ã†ãƒ‡ã‚£ãƒªã‚¯ãƒ¬åˆ†å¸ƒã¨ãªã£ã¦ã„ã‚‹ã€‚å¾“ã£ã¦DPã¯è¶³ã—ã¦1ã«ãªã‚‹ãƒ‘ãƒ©ãƒ¡ãƒ¼ã‚¿ã‚»ãƒƒãƒˆÎ¸={Î¸1, Î¸2, ..., Î¸n}ã«
syou6162 2010/09/06
machine learning

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thesis_1spc.dvi
syou6162 2010/08/16
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machine learning

nlp
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NIPS*03 One-day Workshop on Nonparametric Bayesian methods and Infinite models
syou6162 2010/08/08
nips

tutorial

dp
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http://www.phontron.com/dirichlettopic/dirichlet-topic.pdf
syou6162 2010/08/07
perl

dp

machine learning
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ç§»è»¢ã—ã¾ã—ãŸ http://please-sleep.cou929.nu/20100708.html
syou6162 2010/07/09
dp

algorithm
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å‹•çš„è¨ˆç”»æ³•ã®èª¬æ˜Žã¯å¸¸ã«å†å¸°é–¢æ•°ã§æ›¸ãè¡¨ã™ã“ã¨ã«ã—ã¦ã„ã¾ã™ï¼Žã„ã‚„ã‚†ã‚‹ãƒ¡ãƒ¢åŒ–å†å¸°ã§ã™ï¼Žå‚ç…§é€éŽãªé–¢æ•°ã¯ï¼ŒåŒã˜å¼•æ•°ã«å¯¾ã—ã¦åŒã˜å€¤ã‚’è¿”ã™ã®ã§ï¼Œä¿å˜ã—ã¦ãŠã‘ã°ã„ã„ã¨ã„ã†æ„Ÿè¦šã§ã™ï¼Žè¨ˆç®—é‡ã®è¦‹ç©ã‚‚ã‚Šã‚‚ç°¡å˜ã§ï¼Œå¼•æ•°ã®ç•°ãªã‚Šæ•°ã«é–¢æ•°ä¸ã®ãƒ«ãƒ¼ãƒ—ã®ä¸Šé™ã‚’ã‹ã‘ã‚Œã°ãŠã—ã¾ã„ã§ã™ï¼Žç‰¹ã«å†å¸°ã§æ›¸ãã“ã¨ã«æ…£ã‚Œã¦ã„ã‚Œã°è‡ªæ˜Žã«æ›¸ã‘ã¾ã™ã—ï¼Œãƒ†ãƒ¼ãƒ–ãƒ«ã‚’ä½¿ã£ãŸDPã¨é•ã£ã¦ï¼Œãƒ«ãƒ¼ãƒ—ã®é †ç•ªã‚’æ„è˜ã™ã‚‹å¿…è¦ãŒã‚ã‚Šã¾ã›ã‚“ï¼Žã“ã®ãƒ†ã‚¯ãƒ‹ãƒƒã‚¯ã¯å¦éƒ¨æ™‚ä»£ã«@ohkuraã«æ•™ãˆã¦ã‚‚ã‚‰ã„ã¾ã—ãŸï¼Žé–¢æ•°åž‹è¨€èªžã«è§¦ã‚ŒãŸä»Šã§ã“ãå½“ãŸã‚Šå‰ã«è¦‹ãˆã¾ã™ãŒï¼Œå½“æ™‚ã¯ç›®ã‹ã‚‰é±—ã ã£ãŸã®ã‚’è¦šãˆã¦ã„ã¾ã™ï¼Ž ãƒ¡ãƒ¢åŒ–å†å¸°ã¨ä¸å‹•ç‚¹ã«é–¢ã™ã‚‹@kinabaã•ã‚“ã®æ—¥è¨˜ã‚„ï¼Œãƒ—ãƒã‚°ãƒ©ãƒŸãƒ³ã‚°ã‚³ãƒ³ãƒ†ã‚¹ãƒˆçš„ã«ã¯@chokudaiã•ã‚“ã®è¨˜äº‹ãŒå‚è€ƒã«ãªã‚Šã¾ã™ï¼Ž ä»Šæ›´ã§ã™ãŒï¼Œã¡ã‚‡ã£ã¨ä¾‹ã§èª¬æ˜Žã—ã¾ã™ï¼Žãƒ•ã‚£ãƒœãƒŠãƒƒãƒæ•°ã‚’è¨ˆç®—ã™ã‚‹é–¢æ•°fib(x)ã¯å†å¸°å¼ã§ï¼Œfib(x) = fib(x - 1) + fib(x
syou6162 2010/05/30
dp
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syou6162 2010/02/13
dp
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Dirichlet Processes: A Gentle Tutorial
Dirichlet Processes A gentle tutorial Khalid El-Arini SELECT Lab Meeting October 14, 2008 Motivation 2 ï½ We are given a data set, and are told that it was generated from a mixture of Gaussian distributions. ï½ Unfortunately, no one has any idea how many Gaussians produced the data. Motivation 3 ï½ We are given a data set, and are told that it was generated from a mixture of Gaussian distributions. ï½
syou6162 2010/02/12
dp
ãƒªãƒ³ã‚¯
mots quotidiens.
Cã§ãƒ—ãƒã‚°ãƒ©ãƒ ã‚’æ›¸ã„ã¦ã„ã¦, ãƒ†ã‚ã‚¹ãƒˆå½¢å¼ã§ã‚»ãƒ¼ãƒ–ã•ã‚ŒãŸãƒ‘ãƒ©ãƒ¡ãƒ¼ã‚¿ãƒ•ã‚¡ã‚¤ãƒ«ã‹ã‚‰ ãƒ™ã‚¯ãƒˆãƒ«/è¡Œåˆ—ã«èªã¿è¾¼ã‚€ã¨ã„ã†å‡¦ç†ã¯éžå¸¸ã«ã‚ˆãã‚ã‚‹ã¨æ€ã†ã®ã ãŒ (MATLABã® load ã«ç›¸å½“), ã†ã£ã‹ã‚Šå‰ã«æ›¸ã„ãŸã‚³ãƒ¼ãƒ‰ã‚’å¿˜ã‚Œã¦è»Šè¼ªã‚’å†ç™ºæ˜Žã™ã‚‹ ã¨ã“ã‚ã ã£ãŸã€‚; èª°ãŒæ›¸ã„ã¦ã‚‚åŒã˜ã‚ˆã†ãªã‚³ãƒ¼ãƒ‰ã«ãªã‚‹ã¨æ€ã†ã®ã ã‘ã‚Œã©ã‚‚, æ¬¡å…ƒã‚’äº‹å‰ã«æŒ‡å®šã›ãš, èªã‚€ã®ã¨åŒæ™‚ã«æ±ºã‚ã‚‹ã‚³ãƒ¼ãƒ‰ã¯ä¸€çž¬ã§ã¯æ›¸ã‘ãªã„ã¨æ€ã†ã®ã§, ã›ã£ã‹ããªã®ã§ ä¸‹ã«å…¬é–‹ã—ã¦ãŠãã¾ã™ã€‚(ãƒ•ã‚¡ã‚¤ãƒ«ã«æ›¸ãæ–¹ã¯ç°¡å˜ãªã®ã§çœç•¥ã€‚) loader.c loader.h dmatrix.c dmatrix.h ã“ã‚Œã‚’ä½¿ã†ã«ã¯, ä»¥ä¸‹ã®ã‚ˆã†ã«ã—ã¾ã™ã€‚ #include "loader.h" double *vector, **matrix; int dim, rows, cols; if ((vector = load_vector(file, &dim)) ==
syou6162 2010/02/11
dp
ãƒªãƒ³ã‚¯
An Introduction to Bayesian Nonparametric Modelling
syou6162 2010/01/27
machine learning

bayes

dp
ãƒªãƒ³ã‚¯
Nonparametric Bayes for Non-Bayesians
syou6162 2010/01/26
bayes

machine learning

dp
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