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bayesã«é–¢ã™ã‚‹tictacã®ãƒ–ãƒƒã‚¯ãƒžãƒ¼ã‚¯ (6)

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Peter Norvig / é’æœ¨é– è¨³ å…ˆé€±ã€2äººã®å‹äºº(ãƒ‡ã‚£ãƒ¼ãƒ³ã¨ãƒ“ãƒ«)ãŒãã‚Œãžã‚Œåˆ¥å€‹ã«GoogleãŒæ¥µã‚ã¦æ—©ãæ£ç¢ºã«ã‚¹ãƒšãƒ«ä¿®æ£ã§ãã‚‹ã®ã«ã¯é©šãã°ã‹ã‚Šã ã¨ç§ã«è¨€ã£ãŸã€‚ãŸã¨ãˆã° speling ã®ã‚ˆã†ãªèªžã§Googleã‚’æ¤œç´¢ã™ã‚‹ã¨ã€0.1ç§’ãã‚‰ã„ã§ç”ãˆãŒè¿”ã£ã¦ãã¦ã€ã‚‚ã—ã‹ã—ã¦: spelling ã˜ã‚ƒãªã„ã‹ã¨è¨€ã£ã¦ãã‚‹(Yahooã‚„Microsoftã®ã‚‚ã®ã«ã‚‚åŒæ§˜ã®æ©Ÿèƒ½ãŒã‚ã‚‹)ã€‚ãƒ‡ã‚£ãƒ¼ãƒ³ã¨ãƒ“ãƒ«ãŒé«˜ã„å®Ÿç¸¾ã‚’æŒã£ãŸã‚¨ãƒ³ã‚¸ãƒ‹ã‚¢ã§ã‚ã‚Šæ•°å¦è€…ã§ã‚ã‚‹ã“ã¨ã‚’æ€ãˆã°ã€ã‚¹ãƒšãƒ«ä¿®æ£ã®ã‚ˆã†ãªçµ±è¨ˆçš„è¨€èªžå‡¦ç†ã«ã¤ã„ã¦ã‚‚ã£ã¨çŸ¥ã£ã¦ã„ã¦è‰¯ã•ãã†ãªã‚‚ã®ãªã®ã«ã¨ç§ã¯é©šã„ãŸã€‚ã—ã‹ã—å½¼ã‚‰ã¯çŸ¥ã‚‰ãªã‹ã£ãŸã€‚ã‚ˆãè€ƒãˆã¦ã¿ã‚Œã°ã€ åˆ¥ã«å½¼ã‚‰ãŒçŸ¥ã£ã¦ã„ã‚‹ã¹ãç†ç”±ã¯ãªã„ã®ã ã£ãŸã€‚ é–“é•ã£ã¦ã„ãŸã®ã¯å½¼ã‚‰ã®çŸ¥è˜ã§ã¯ãªãã€ç§ã®ä»®å®šã®æ–¹ã ã€‚ ã“ã®ã“ã¨ã«ã¤ã„ã¦ã¡ã‚ƒã‚“ã¨ã—ãŸèª¬æ˜Žã‚’æ›¸ã„ã¦ãŠã‘ã°ã€å½¼ã‚‰ã°ã‹ã‚Šã§ãªãå¤šãã®äººã«æœ‰ç›Šã‹ã‚‚ã—ã‚Œãªã„ã€‚Googleã®
tictac 2007/04/30
bayes

program

python
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Hatena Relate - æ•°å¦çŒ«ã®ç”Ÿæ´»ã¨æ„è¦‹
Bayseian SetãŒé¢ç™½ãã†ã ã£ãŸã®ã§ã€ã“ã‚Œã‚’ä½¿ã£ã¦ã¯ã¦ãªãƒ–ãƒƒã‚¯ãƒžãƒ¼ã‚¯ã®æœ€æ–°äººæ°—ã‚¨ãƒ³ãƒˆãƒªã‚’ã‚°ãƒ«ãƒ¼ãƒ—åˆ†ã‘ã™ã‚‹ãƒ—ãƒã‚°ãƒ©ãƒ ã‚’æ›¸ã„ã¦ã¿ã¾ã—ãŸã€‚ãƒ–ãƒƒã‚¯ãƒžãƒ¼ã‚¯ã—ãŸãƒ¦ãƒ¼ã‚¶ãƒ¼ã‚’å±žæ€§ã¨è¦‹ã¦åˆ†é¡žã—ã¾ã™ã€‚èµ·å‹•ã™ã‚‹ã¨ã¯ã¦ãªãƒ–ãƒƒã‚¯ãƒžãƒ¼ã‚¯ã‹ã‚‰æœ€æ–°ã‚¨ãƒ³ãƒˆãƒªã‚’å–å¾—ã—ã¦ã€HTMLã‚’æ¨™æº–å‡ºåŠ›ã«æ›¸ãå‡ºã—ã¾ã™ã€‚Rubyãƒ—ãƒã‚°ãƒ©ãƒ ã§ã™ã€‚ class AttrVector attr_reader :name def initialize(name) @name = name @attrs = Hash.new(false) end def add(attr) @attrs[attr]=true end def remove(attr) @attrs.delete(attr) end def each @attrs.each_key{|key| yield(key)} end end # require 'test/unit'
tictac 2006/10/30
bayes

algorithm

ruby
ãƒªãƒ³ã‚¯
FrontPage - PukiWikiBayesFunã€€ãƒ™ã‚¤ã‚ºã‚¦ã‚£ã‚
é‡è¦ãªãŠçŸ¥ã‚‰ã›ï¼šãƒ™ã‚¤ã‚ºã‚¦ã‚£ã‚ã®URLãŒå¤‰ã‚ã‚Šã¾ã™ï¼Ž â€ ã‚µãƒ¼ãƒãƒ¼ã‚’äº¬éƒ½å¤§å¦ã«ç§»å‹•ã™ã‚‹ã“ã¨ã«ã‚ˆã‚Š ãƒ™ã‚¤ã‚ºã‚¦ã‚£ã‚ã®URLãŒå¤‰ã‚ã‚Šã¾ã™ï¼Ž æ–°URLã¯ï¼Œhttp://hawaii.sys.i.kyoto-u.ac.jp/~oba/bayeswiki/index.php ã§ï¼Œ ã™ã§ã«éŽåŽ»ã®ãƒ‡ãƒ¼ã‚¿ã‚’ãã®ã¾ã¾ç§»ã—ã¦ç¨¼åƒä¸ã§ã™ï¼Ž ä»¥å¾Œã®é–²è¦§ãƒ»æ›¸ãè¾¼ã¿ã¯æ–°ã‚µã‚¤ãƒˆã§ãŠããŒã„ã—ã¾ã™ï¼Ž ã“ã“ï¼Œæ—§ã‚µã‚¤ãƒˆã¯ã—ã°ã‚‰ãã—ãŸã‚‰å‰Šé™¤ã—ã¾ã™ï¼Ž â†‘ ãŠçŸ¥ã‚‰ã› â€ ã‚¹ãƒ‘ãƒ å¯¾ç–ã«è¨ç½®ã—ãŸä½µè¨ä¼šè°å ´ã®ã»ã†ã®ã‚¹ãƒ‘ãƒ ãŒã²ã©ããªã£ã¦ããŸã®ã§ã€ ã‚¹ãƒ‘ãƒ å¯¾ç–ã‚’å¼·åŒ–ã—ãŸæœ¬å®¶pukiwiki ã®ã»ã†ã‚’ãƒ¡ã‚¤ãƒ³ã¨ã™ã‚‹ã¹ãæ•´å‚™ä¸ã§ã™ã€‚ 2007/05/18 ã‚³ãƒ¡ãƒ³ãƒˆã‚¹ãƒ‘ãƒ å¯¾ç–ã®ãŸã‚ã«ã€åˆè¨€è‘‰ã‚’è¨å®šã—ã¾ã—ãŸã€‚ ã‚³ãƒ¡ãƒ³ãƒˆã‚’æ›¸ãè¾¼ã‚€ã¨ãã«ã¯ ãŠåå‰æ¬„ã«è‡ªåˆ†ã®ãƒãƒ³ãƒ‰ãƒ«åã¨ã¨ã‚‚ã« bayes ã¨åŠè§’è‹±å—ã§æ›¸ãè¾¼ã‚€ ã‚ˆã†ã«ã—ã¦ä¸‹ã•ã„ã€‚ 2007/05/09 æŠ•
tictac 2006/10/28
bayes

algorithm
ãƒªãƒ³ã‚¯
NameBright.com - Next Generation Domain Registration pascal-network.org is coming soon
tictac 2006/10/26
algorithm

bayes
ãƒªãƒ³ã‚¯
Bayesian Sets - mots quotidiens.
Bayesian Sets (Ghahramani and Heller, NIPS 2005)ã¯ Google Sets ã¨åŒã˜ã‚ˆã†ãªã“ã¨ã‚’ãƒ™ã‚¤ã‚ºçš„ã«è¡Œã†ã‚¢ãƒ«ã‚´ãƒªã‚ºãƒ ã§ã™ã€‚ ã„ãã¤ã‹ã‚¢ã‚¤ãƒ†ãƒ ã‚’å…¥ã‚Œã‚‹ã¨, ãã‚Œã‚’ã€Œè£œå®Œã™ã‚‹ã€ã‚ˆã†ãªã‚¢ã‚¤ãƒ†ãƒ ã‚’ è¿”ã—ã¦ãã‚Œã¾ã™ã€‚ ã“ã‚Œã¯ NIPS ã® accepted papers ãŒå‡ºãŸåŽ»å¹´ã®8æœˆã‹ã‚‰æ°—ã«ãªã£ã¦ã„ã¦, æœ¬ä¼šè°ã§ã¯ã‚ªãƒ¼ãƒ©ãƒ«ã®ç™ºè¡¨ã‚‚ã‚ã£ã¦å¤§ä½“ã®ã‚„ã£ã¦ã„ã‚‹ã“ã¨ã¯ã‚ã‹ã£ãŸ ã‚‚ã®ã®, ä½•ã¨(æœ¬ä¼šè°ã®æ™‚ã‚‚!)è«–æ–‡ãŒãªã, ç›´æŽ¥Hellerã«é€£çµ¡ã—ã¦ ã‚‚ã‚‰ãˆã‚‹ã‚ˆã†ã«é ¼ã‚“ã§ã„ãŸã¨ã“ã‚, Online proceedings ã®ç· åˆ‡ã‚ŠãŒã‚ã£ãŸ æ™‚ã«é€£çµ¡ãŒã‚ã£ã¦, èªã‚ã‚‹ã‚ˆã†ã«ãªã‚Šã¾ã—ãŸã€‚(ãƒªãƒ³ã‚¯ã¯ä¸‹ã®ãƒšãƒ¼ã‚¸å‚ç…§) å²¡é‡ŽåŽŸå›ã«å…ˆã« ç´¹ä»‹ ã•ã‚Œã¦ã—ã¾ã„ã¾ã—ãŸãŒ, ä»¥ä¸‹ã¯, å²¡é‡ŽåŽŸå›ãŒæ›¸ã„ã¦ã„ãªã„è©±ã€‚ Bayesian Sets ã¯, ã‚¢ã‚¤ãƒ†ãƒ é›†åˆ D ã«å¯¾ã—ã¦,
tictac 2006/10/26
algorithm

bayes
ãƒªãƒ³ã‚¯
http://mono.kmc.gr.jp/~oxy/bsets/
å…¥åŠ›ã—ãŸã‚ãƒ¼ãƒ¯ãƒ¼ãƒ‰(ä¾‹)ã«é–¢é€£ã—ãŸå˜èªžã‚’æŽ¨æ¸¬ã—ã¦ãã‚Œã¾ã™ã€‚ è‹±èªžç‰ˆWikipedia(17ä¸‡æ–‡æ›¸ã»ã©)ã§å‹‰å¼·ã•ã›ãŸã®ã§ã€æ—¥æœ¬èªžã¯ç†è§£ã§ãã¾ã›ã‚“ã€‚ written by oxy(blog)
tictac 2006/10/26
algorithm

search

bayes
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Bayesian Sets - mots quotidiens.

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