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£108.92
Springer Support Vector Machines for Pattern Classification
114 black & white illustrations, 114 col
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Description
Key Features
Provides a detailed clarification of the specific characteristics found in two-class SVMs to build a strong foundational understanding.
Discusses advanced kernel methods designed to improve the generalization ability of both fuzzy systems and neural networks.
Includes a wide range of illustrations and practical examples to help visualize complex pattern classification concepts.
Features performance evaluations conducted using publicly available data sets for realistic application testing.
Examines specialized topics including Mahalanobis kernels and empirical methods for improved classification accuracy.
Offers structured architectures specifically for solving multiclass classification and function approximation problems.
Product Specifications
- Brand
- Springer
- Format
- hardcover
- ASIN
- 1849960976
- Domain
- Amazon UK
- Release Date
- 29 March 2010
- Listed Since
- 11 January 2010
Barcode
No barcode data available
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