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Support vector machines for pattern classification : with 110 figures

著者: Shigeo Abe
出版: London : Springer, 2005.
シリーズ: Advances in pattern recognition.
エディション/フォーマット:   book_printbook : Englishすべてのエディションとフォーマットを見る
データベース:WorldCat
概要:

Support Vector Machines are popular because of their high classification importance; this book focuses on the discussions on SVMs specifically to pattern classification.

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ドキュメントの種類: 図書
すべての著者/寄与者: Shigeo Abe
ISBN: 9781852339296 1852339292
OCLC No.: 316465227
物理形態: xiv, 343 pages : illustrations ; 25 cm.
コンテンツ: Introduction.- Two-class Support Vector Machines.- Multiclass Support Vector Machines.- Variants of Support Vector Machines.- Training Methods.- Feature Selection and Extraction.- Clustering.- Kernel-Based Methods.- Maximum Margin Multilayer Neural Networks.- Maximum Margin Fuzzy Classifiers.- Function Approximation.- Conventional Classifiers.- Matrices.
シリーズタイトル: Advances in pattern recognition.
責任者: Shigeo Abe.

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From the reviews: "This broad and deep ... book is organized around the highly significant concept of pattern recognition by support vector machines (SVMs). ... The book is praxis and application 続きを読む

 
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