Kernel methods for pattern analysis

＜図書＞
Kernel methods for pattern analysis

責任表示	John Shawe-Taylor, Nello Cristianini
データ種別	図書
出版情報	Cambridge : Cambridge University Press , 2004
本文言語	英語
大きさ	xiv, 462 p. : ill. ; 26 cm
概要	Pattern analysis is the process of finding general relations in a set of data, and forms the core of many disciplines, from neural networks to so-called syntactical pattern recognition, from machine l...arning to data mining. Applications of pattern analysis range from bioinformatics to document retrieval. The kernel methodology described here provides a powerful and unified framework for all of these disciplines, motivating algorithms that can act on general types of data (e.g. strings, vectors, text etc.) and look for general types of relations (e.g. rankings, classifications, regressions clusters etc.)続きを見る

一般注記	Includes bibliographical references (p. 450-459) and index
著者標目	*Shawe-Taylor, John Cristianini, Nello
件　名	LCSH:Machine learning LCSH:Algorithms LCSH:Kernel functions LCSH:Pattern perception -- Data processing 全ての件名で検索
分　類	LCC:Q325.5 DC22:006.3/1
書誌ID	1001252693
ISBN	9780521813976
NCID	BA6740613X
巻冊次	: hardback ; ISBN:9780521813976 ; XISBN:0521813972
登録日	2009.09.18
更新日	2021.05.07