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Kernel methods for pattern analysis

Kernel methods for pattern analysis
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 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.
0521813972
Cambridge University Press
Shawe-Taylor, J.
c32d0ee4-b422-491f-8c28-78663851d6db
Cristianini, N.
00885da7-7833-4f0c-b8a0-3f385d89f642
Shawe-Taylor, J.
c32d0ee4-b422-491f-8c28-78663851d6db
Cristianini, N.
00885da7-7833-4f0c-b8a0-3f385d89f642

Shawe-Taylor, J. and Cristianini, N. (2004) Kernel methods for pattern analysis , Cambridge. Cambridge University Press, 478pp.

Record type: Book

Abstract

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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More information

Published date: 28 June 2004
Organisations: Electronics & Computer Science

Identifiers

Local EPrints ID: 259580
URI: http://eprints.soton.ac.uk/id/eprint/259580
ISBN: 0521813972
PURE UUID: b5e1b9f5-46ee-470b-80f4-f7cbaef99649

Catalogue record

Date deposited: 02 Mar 2005
Last modified: 29 Jul 2020 16:32

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