Support Vector Machines: Theory and Applications

Name: Support Vector Machines: Theory and Applications
Brand: Springer Berlin Heidelberg
Availability: OutOfStock
Rating: 5 (1 reviews)

By Lipo Wang

0 - Default Title

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.

Product details

Edition:

1

Number of Pages:

444

Release Date:

2005-06-21

Publication Date:

2005-06-21

Publisher:

Springer Berlin Heidelberg

Languages:

Original: English

ISBN10:

3540243887

ISBN13:

9783540243885

GPSR Manufacturer Reference:

[email protected]

Weight:

910 g

Height:

160 cm

Width:

241 cm

Thickness:

32 cm

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