Learning kernel classifiers : theory and algorithms /
Linear classifiers in kernel spaces have emerged as a major topic within the field of machine learning. The kernel technique takes the linear classifier--a limited, but well-established and comprehensively studied model--and extends its applicability to a wide range of nonlinear pattern-recognition...
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| Format: | eBook |
| Language: | English |
| Published: |
Cambridge, Mass. :
MIT Press,
©2002.
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| Series: | Adaptive computation and machine learning
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| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
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