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Support vector machines for pattern classification : with 110 figures

作者: Shigeo Abe
出版商: London : Springer, 2005.
叢書: Advances in pattern recognition.
版本/格式:   Print book : 英語所有版本和格式的總覽
資料庫:WorldCat
提要:

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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文件類型: 圖書
所有的作者/貢獻者: Shigeo Abe
ISBN: 9781852339296 1852339292
OCLC系統控制編碼: 316465227
描述: xiv, 343 pages : illustrations ; 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.
叢書名: Advances in pattern recognition.
責任: 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 再讀一些...

 
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