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hiromark 2011/04/24
nlp

ml

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algorithm
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hiromark 2011/01/20
algorithm

classification

svm
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hiromark 2010/06/11
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SVMã«ã‚ˆã‚‹äºˆæ¸¬å¤‰æ› - nokunoã®æ—¥è¨˜
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hiromark 2010/05/17
svm
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SVM(Support Vector Machine, ã‚µãƒãƒ¼ãƒˆãƒ™ã‚¯ã‚¿ãƒ¼ãƒžã‚·ãƒ³, ã‚µãƒãƒ¼ãƒˆãƒ™ã‚¯ãƒˆãƒ«ãƒžã‚·ãƒ³)ã‚’perlã§æ›¸ã„ã¦ã¿ãŸã€‚ å®Ÿè£…ãŒç°¡å˜ã¨ã„ã†ç†ç”±ã‹ã‚‰SGDã«ã‚ˆã‚‹ã‚ªãƒ³ãƒ©ã‚¤ãƒ³å¦ç¿’ã‚’è¡Œã£ã¦ã„ã‚‹ã€‚ã‚«ãƒ¼ãƒãƒ«è¡Œåˆ—(ã‚°ãƒ©ãƒ è¡Œåˆ—)ã‚’ãƒ¡ãƒ¢ãƒªã«æŒã£ã¦ãŠã‹ãªã„ã¨ã„ã‘ãªã„ã®ã§æœ¬å½“ã®æ„å‘³ã§ã¯ã‚ªãƒ³ãƒ©ã‚¤ãƒ³åŒ–ã•ã‚Œã¦ã„ãªã„ãŒã€SVMã‚’ç†è§£ã™ã‚‹ãŸã‚ã®ã‚µãƒ³ãƒ—ãƒ«ã¨ã—ã¦ã¯SGDã§å®Ÿè£…ã™ã‚‹ã®ã¯æ‰‹é ƒã§ã¯ãªã„ã‹ã¨æ€ã†ã€‚ #!/usr/local/bin/perl # $Id$ use strict; use warnings; my $d = 3; # x âˆˆ R^3 my $n = 6; # number of training data my $t = 10; # iteration # label (warm color:1, cold color:-1) my @yy = (1, -1, -1, -1, 1, 1); #
hiromark 2010/04/19
Perl ã§å®Ÿè£…ã€‚

svm

perl
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hiromark 2010/04/01
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algorithm
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hiromark 2010/01/25
svm

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hiromark 2010/01/08
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svm
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