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Support Vector Machines: Theory and Applications by Lipo Wang β€” book cover

Support Vector Machines: Theory and Applications

by Lipo Wang
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Overview

The support vector machine (SVM) has become one of the standard tools for machine learning and data mining. This volume presents the state of the art of the mathematical foundation of SVM in statistical learning theory, as well as noel 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 the respective fields.

Synopsis

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 the respective fields.

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Book Details

Published
February 1, 2008
Publisher
Springer-Verlag New York, LLC
Pages
442
Format
Hardcover
ISBN
9783540243885

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