ENGLISH

Support Vector Machines: Theory and Applications

By V. Kecman (auth.) , Professor Lipo Wang (eds.)

Book information

Publisher
Springer-Verlag Berlin Heidelberg
Year
2005
ISBN
9783540243885, 3-540-24388-7
DOI
10.1007/b95439
ISSN
1434-9922
Open Library ID
OL9055283M
Language
english
Format
PDF
Filesize
15 MB (16171043 bytes)
Series
Studies in Fuzziness and Soft Computing 177
Edition
1
Pages
431\434
Topic
Technique
Library
mexmat
Time added
2009-07-20 03:45:11
Appl.Mathematics/Computational Methods of Engineer

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 the respective fields.

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