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Study Support Vector Machines: Theory and Applications

Posted on 2010-03-15




Name:Study Support Vector Machines: Theory and Applications
ASIN/ISBN:3540243887
Language:English
File size:16 Mb
ISBN: 3540243887
Publish Date: 2005 Year
Pages: 431 Pages
File Type: PDF
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Support Vector Machines: Theory and Applications

by Lipo Wang, (Studies in Fuzziness and Soft Computing)

The support vector machine (SVM) has become one of the standard tools for machine learning and data mining. This carefully edited volume presents the state of the art of the mathematical foundation of SVM in statistical learning theory, as well as novel algorithms and applications. Support Vector Machines provides a selection of numerous real-world applications, such as bioinformatics, text categorization, pattern recognition, and object detection, written by leading experts in their respective fields.

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