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Support Vector Machines: Theory and Applications

Edited by Lipo Wang

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normal price: R 7 110.95

Price: R 6 755.95


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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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Normally shipped | Usually dispatched in 3 to 4 weeks as supplier is out of stock
Publisher | Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Published date | 17 Nov 2010
Language |
Format | Paperback / softback
Pages | 431
Dimensions | 235 x 155 x 0mm (L x W x H)
Weight | 0g
ISBN | 978-3-6420-6368-8
Readership Age |
BISAC | computers / computer science


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