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Kernel Methods for Pattern Analysis

Language EnglishEnglish
Book Hardback
Book Kernel Methods for Pattern Analysis John Shawe-Taylor
Libristo code: 04095489
Publishers Cambridge University Press, June 2004
Kernel methods provide a powerful and unified framework for pattern discovery, motivating algorithms... Full description
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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: firstly it provides practitioners with a large toolkit of algorithms, kernels and solutions ready to use for standard pattern discovery problems in fields such as bioinformatics, text analysis, image analysis. Secondly it provides an easy introduction for students and researchers to the growing field of kernel-based pattern analysis, demonstrating with examples how to handcraft an algorithm or a kernel for a new specific application, and covering all the necessary conceptual and mathematical tools to do so.

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About the book

Full name Kernel Methods for Pattern Analysis
Language English
Binding Book - Hardback
Date of issue 2004
Number of pages 478
EAN 9780521813976
ISBN 0521813972
Libristo code 04095489
Weight 988
Dimensions 179 x 248 x 26
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