Kernel methods for pattern analysis / John Shawe-Taylor, Nello Cristianini.

Kernel methods for pattern analysis /

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The kernel functions methodology described here provides a powerful and unified framework for disciplines ranging from neural networks and pattern recognition to machine learning and data mining. This book provides practitioners with a large toolkit of algorithms, kernels and solutions ready to be i...

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Bibliographic Details
Main Author: Shawe-Taylor, John
Other Authors: Cristianini, Nello
Format: Electronic eBook
Language:English
Published: Cambridge, UK ; New York : Cambridge University Press, 2004.
Subjects:
Machine learning.
Algorithms.
Kernel functions.
Pattern perception > Data processing.
Computer algorithms.
Algorithms
Machine Learning
algorithms.
Online Access: Full text (Wentworth users only)
Local Note:ProQuest Ebook Central
Description
Summary:The kernel functions methodology described here provides a powerful and unified framework for disciplines ranging from neural networks and pattern recognition to machine learning and data mining. This book provides practitioners with a large toolkit of algorithms, kernels and solutions ready to be implemented, suitable for standard pattern discovery problems.
Physical Description:1 online resource (xiv, 462 pages) : illustrations
Bibliography:Includes bibliographical references (pages 450-459) and index.
ISBN:0511210604
9780511210600
0511215975
9780511215971
0511212372
9780511212376
9780511809682
0511809689
0511214189
9780511214189
Source of Description, Etc. Note:Print version record.

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