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Kernel Methods for Pattern Analysis

By John Shawe-Taylor

Kernel Methods for Pattern Analysis Computer Science

Kernel Methods for Pattern Analysis

Only 1 item left in stock
Description
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.
Product details
Edition:
illustrated
Number of Pages:
478
Release Date:
2004-06-28
Publication Date:
2014-02-03
Publisher:
Cambridge University Press
Languages:
Original: English
ISBN10:
0521813972
ISBN13:
9780521813976
GPSR Manufacturer Reference:
[email protected]
Weight:
997 g
Height:
175 cm
Width:
250 cm
Thickness:
30 cm
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Very good
Almost no signs of wear. Book pages have no markings, accessories are intact and all other media are in good condition.
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