Kernel Methods for Pattern Analysis

Kernel methods provide a powerful and unified framework for pattern discovery, motivating algorithms that can act on general types of data (e.g. strings, vectors or text) and look for general types of relations (e.g. rankings, classifications, regressions, clusters). The application areas range from...

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Bibliographic Details

Main Authors:	Shawe-Taylor, John, Cristianini, Nello
Format:	eBook Book
Language:	English
Published:	Cambridge Cambridge University Press 28.06.2004
Edition:	1
Subjects:	Algorithms Data processing Kernel functions Machine learning Pattern perception Pattern perception > Data processing
ISBN:	9780521813976, 0521813972
Online Access:	Get full text
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