Support Vector Machines: Theory and Applications

Support Vector Machines: Theory and Applications

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Nov 17, 2010 · English · Paperback (441 pages)
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Book Details

Format Paperback
Pages 441
Language English
Published Nov 17, 2010
Publisher Springer
ISBN-10 3642063683
ISBN-13 9783642063688

Description

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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