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Found 2 from your keywords: author=Herbrich, Ralf.
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Learning Kernel Classifiers: Theory and Algorithms
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Herbrich, Ralf.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 tasks such as natural language processing, machine vision, and biological sequence analysis. This…

Edition
1
ISBN/ISSN
9780262256339
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-
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-
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-
cover
Learning kernel classifiers :theory and algorithms
Comment Share
Herbrich, Ralf.

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 tasks such as natural language processing, machine vision, and biological sequence analysis. This…

Edition
-
ISBN/ISSN
9780262256339
Collation
1 online resource (xx, 364 pages) :illustrations.
Series Title
-
Call Number
-