| Title:
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SUPPORT VECTOR MACHINES: THEORY AND APPLICATIONS
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| By: |
Lipo Wang (Editor) |
| Format: |
Paperback |
| List price:
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£202.00 |
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| ISBN 10: |
3642063683 |
| ISBN 13: |
9783642063688 |
| Publisher: |
SPRINGER-VERLAG BERLIN AND HEIDELBERG GMBH & CO. KG |
| Pub. date: |
2 November, 2010 |
| Edition: |
Softcover reprint of hardcover 1st ed. 2005 |
| Series: |
Studies in Fuzziness and Soft Computing 177 |
| Pages: |
431 |
| 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. |
| Synopsis: |
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. |
| Illustrations: |
55 Tables, black and white; X, 431 p. |
| Publication: |
Germany |
| Imprint: |
Springer-Verlag Berlin and Heidelberg GmbH & Co. K |
| Returns: |
Returnable |