Kernel Methods for Pattern Analysis Shawe-Taylor, John.

Kernel Methods for Pattern Analysis

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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...

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Bibliographic Details
Main Authors: Shawe-Taylor, John (Author), Cristianini, Nello (Author)
Corporate Author: Safari, an O’Reilly Media Company
Format: Electronic eBook
Language:English
Published: Cambridge University Press, 2004.
Edition:1st edition.
Subjects:
Mathematics.
Science.
Electronic books.
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