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Support vector machines for pattern classification : with 110 figures

저자: Shigeo Abe
출판사: London : Springer, 2005.
시리즈: Advances in pattern recognition.
판/형식:   Print book : 영어모든 판과 형식 보기
데이터베이스:WorldCat
요약:

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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문서 형식:
모든 저자 / 참여자: Shigeo Abe
ISBN: 9781852339296 1852339292
OCLC 번호: 316465227
설명: xiv, 343 pages : illustrations ; 25 cm.
내용: 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.
일련 제목: Advances in pattern recognition.
책임: 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 더 읽기…

 
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