Support Vector Machines For Pattern Classification
Abe, Shigeo
|
Format: Book - Hardcover
Released: Sun 31 Jul 2005
Catalogue Number: 1852339292
|
|
This product is no longer available.
|
|
Deleted
|
* Prices displayed are in Australian Dollars and, where applicable, GST inclusive
Description:
Support vector machines (SVMs), were originally formulated for two-class classification problems, and have been accepted as a powerful tool for developing pattern classification and function approximations systems. This book provides a unique perspective of the state of the art in SVMs by taking the only approach that focuses on classification rather than covering the theoretical aspects. The book clarifies the characteristics of two-class SVMs through their extensive analysis, presents various useful architectures for multiclass classification and function approximation problems, and discusses kernel methods for improving generalization ability of conventional neural networks and fuzzy systems. Ample illustrations, examples and computer experiments are included to help readers understand the new ideas and their usefulness. This book supplies a comprehensive resource for the use of SVMs in pattern classification and will be invaluable reading for researchers, developers & students in academia and industry.
Details:
- Publisher: Springer-Verlag New York Inc
- Series: Advances in Pattern Recognition
- Textual Format: Computer Applications
- Academic Level: Scholarly/Graduate
- Depth (m): 0.019
- Dewey: 005.52
- Height (m): 0.241
- Pages: 343
- Place Of Publication: Great Britain/British Isles
- Published Date: Tue 30 Aug 2005
- Volume: 10
- Weight (g): 635
- Width (m): 0.159
Availability
This product is no longer available.
| Also in the Advances in Pattern Recognition series (view all) |
|
|
|
|
|
|
More 
shopping cart