Support Vector Machines for Pattern Classification
Originally formulated for two-class classification problems, support vector machines (SVMs) are now accepted as powerful tools for developing pattern classification and function approximation systems. Recent developments in kernel-based methods include kernel classifiers and regressors and their var...
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| Format: | Electronic |
| Language: | English |
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London :
Springer London,
2010.
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| Series: | Advances in Pattern Recognition,
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| Online Access: | https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-1-84996-098-4 |