Kernel Methods for Pattern Analysis

by John Shawe-Taylor and Nello Cristianini

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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 neural networks and pattern recognition to machine learning and data mining. This book, developed from lectures and tutorials, fulfils two major roles:...

Format:Hardcover

Language:English

ISBN:0521813972

ISBN13:9780521813976

Release Date:June 2004

Publisher:Cambridge University Press

Length:478 Pages

Weight:2.45 lbs.

Dimensions:1.2" x 6.7" x 9.8"

Related Subjects

Algorithms Artificial Intelligence Bioinformatics Biological Sciences Computer Science Computers Computers & Technology Education & Reference Human Vision & Language Systems Languages & Tools

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