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Support vector machines for pattern classification : with 110 figures

著者: Shigeo Abe
出版商: London : Springer, 2005.
丛书: Advances in pattern recognition.
版本/格式:   图书 : 英语查看所有的版本和格式
数据库:WorldCat
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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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所有的著者/提供者: Shigeo Abe
ISBN: 9781852339296 1852339292
OCLC号码: 316465227
描述: xiv, 343 p. : ill. ; 25 cm.
内容: 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.
丛书名: Advances in pattern recognition.
责任: 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 再读一些...

 
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