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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Bibliographic Details
Main Author: Abe, Shigeo (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: London : Springer London, 2010.
Series:Advances in Pattern Recognition,
Subjects:
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ΒΚΠ - Πατρα: ALFd

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Call Number: 330.01 BAU
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ΒΚΠ - Πατρα: BSC

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Call Number: 330.01 BAU
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