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Support vector machines : theory and applications

Support vector machines : theory and applications (20회 대출)

자료유형
단행본
개인저자
Wang, Lipo.
서명 / 저자사항
Support vector machines : theory and applications / Lipo Wang (ed.).
발행사항
Berlin ;   New York :   Springer ,   c2005.  
형태사항
x, 431 p. : fig. (some col.), tab. ; 25 cm.
총서사항
Studies in fuzziness and soft computing , 1434-9922 ; v. 177
ISBN
3540243887 (hd.bd.)
서지주기
Includes bibliographical references.
일반주제명
Machine learning. Data mining. Pattern recognition systems.
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245 0 0 ▼a Support vector machines : ▼b theory and applications / ▼c Lipo Wang (ed.).
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300 ▼a x, 431 p. : ▼b fig. (some col.), tab. ; ▼c 25 cm.
440 0 ▼a Studies in fuzziness and soft computing , ▼x 1434-9922 ; ▼v v. 177
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650 0 ▼a Machine learning.
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소장정보

No. 소장처 청구기호 등록번호 도서상태 반납예정일 예약 서비스
No. 1 소장처 과학도서관/Sci-Info(2층서고)/ 청구기호 006.3 S959 등록번호 121121633 도서상태 대출가능 반납예정일 예약 서비스 B M

컨텐츠정보

목차

From the contents: Support Vector Machines - An Introduction.- Multiple Model Estimation for Nonlinear Classification.- Componentwise Least Squares Support Vector Machines.- Active Support Vector Learning with Statistical Queries.- Local Learning vs. Global Learning: An Introduction to Maxi-Min Margin Machine.- Active-Set Methods for Support Vector Machines.- Theoretical and Practical Model Selection Methods for Support Vector Classifiers.- Adaptive Discriminant and Quasiconformal Kernel Nearest Neighbor Classification.- Improving the Performance of the Support Vector Machine: Two Geometrical Scaling Methods.- An Accelerated Robust Support Vector Machine Algorithm.- Fuzzy Support Vector Machines with Automatic Membership Setting.- Iterative Single Data Algorithm for Training Kernel Machines from Huge Data Sets: Theory and Performance.- Kernel Discriminant Learning with Application to Face Recognition.- Fast Color Texture-based Object Detection in Images: Application to License Plate Localization.


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