Kernel Methods For Pattern Analysis
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Kernel Methods for Pattern Analysis
| Author | : John Shawe-Taylor |
| Publisher | : Cambridge University Press |
| Total Pages | : 520 |
| Release | : 2004-06-28 |
| Genre | : Computers |
| ISBN | : 9780521813976 |
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Publisher Description
Kernel Methods for Pattern Analysis Related Books
Language: en
Pages: 520
Pages: 520
Type: BOOK - Published: 2004-06-28 - Publisher: Cambridge University Press
Publisher Description
Language: en
Pages: 520
Pages: 520
Type: BOOK - Published: 2004-06-28 - Publisher: Cambridge University Press
Kernel methods provide a powerful and unified framework for pattern discovery, motivating algorithms that can act on general types of data (e.g. strings, vector
Language: en
Pages: 434
Pages: 434
Type: BOOK - Published: 2009-09-03 - Publisher: John Wiley & Sons
Kernel methods have long been established as effective techniques in the framework of machine learning and pattern recognition, and have now become the standard
Language: en
Pages: 428
Pages: 428
Type: BOOK - Published: 2004 - Publisher: MIT Press
A detailed overview of current research in kernel methods and their application to computational biology.
Language: en
Pages: 507
Pages: 507
Type: BOOK - Published: 2020-05-13 - Publisher: Springer Nature
This textbook introduces linear algebra and optimization in the context of machine learning. Examples and exercises are provided throughout the book. A solution
