Support Vector Machines: Theory and Applications

Gebonden Engels 2005 2005e druk 9783540243885
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Samenvatting

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.

Specificaties

ISBN13:9783540243885
Taal:Engels
Bindwijze:Gebonden
Aantal pagina's:431
Uitgever:Springer Berlin Heidelberg
Druk:2005

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          Support Vector Machines: Theory and Applications