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.
Détails du livre
Format
Broché
Pages
441 pages
Langue
Anglais
Publié
Nov 17, 2010
Éditeur
Springer
Éditions
3 editions
ISBN-10
3642063683
ISBN-13
9783642063688