パターン分類装置の学習装置及びそのためのコンピュータプログラム

Japanese Patent JP5704692

B2

PROBLEM TO BE SOLVED: To provide a learning device for a pattern classification device for obtaining a high recognition rate by using a loss function directly connected to Bayesian error estimation.SOLUTION: A learning device 42 includes: a storage device 64 for storing a learning pattern set; and a learning device 66 for learning a discriminant function to be defined for each class by a learning pattern. The discriminant function is expressed with the linear sum of kernel arithmetic operations between an input pattern and a plurality of prototypes. The kernel is defined by an internal product between an input pattern after conversion and the prototype after conversion in the case of determining characteristic conversion for converting the input pattern into a space whose dimension is higher than that of the space of the input pattern, and a gram matrix configured of the kernel arithmetic operations between the mutual prototypes is turned into a positive definite matrix. The learning device is configured to adjust a coefficient vector to minimize an average classification error number loss to be defined as a function between a learning pattern and a coefficient vector set in the high dimensional space.

Hideyuki Watanabe

JP2010266448A

April 22, 2015

November 30, 2010

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National Institute of Information and Communications Technology

G06N99/00; G10L15/06; G10L17/00; G10L17/02; G10L17/04

笠井航,他3名,オンラインプロトタイプ生成による大規模データに対する高速SVM構築法,電子情報通信学会論文誌,日本,社団法人電子情報通信学会,2009年 6月 1日,第J92-D巻, 第6号,pp.784-792
渡辺秀行,他6名,判別関数の一般形に対する幾何マージンの導出とその制御を伴う最小分類誤り学習,電子情報通信学会技術研究報告,日本,社団法人電子情報通信学会,2009年 8月24日,第109巻,第182号,pp.1-6
浦田穣司,他2名,Kohonen mapによる音韻認識に及ぼす情報フィードバックの効果,電子情報通信学会技術研究報告,日本,社団法人電子情報通信学会,1991年10月24日,第91巻,第287号,pp.29-36

Satoshi Shimizu

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