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
ISBN-10	: 0521813972
ISBN-13	: 9780521813976
Rating	: 4/5 (976 Downloads)

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Book Synopsis Kernel Methods for Pattern Analysis by : John Shawe-Taylor

Download or read book Kernel Methods for Pattern Analysis written by John Shawe-Taylor and published by Cambridge University Press. This book was released on 2004-06-28 with total page 520 pages. Available in PDF, EPUB and Kindle. Book excerpt: Publisher Description

Kernel Methods for Pattern Analysis Related Books

Language: en
Pages: 520

Kernel Methods for Pattern Analysis

Authors: John Shawe-Taylor

Categories: Computers

Type: BOOK - Published: 2004-06-28 - Publisher: Cambridge University Press

DOWNLOAD EBOOK

Publisher Description

Language: en
Pages: 520

Kernel Methods for Pattern Analysis

Authors: John Shawe-Taylor

Categories: Computers

Type: BOOK - Published: 2004-06-28 - Publisher: Cambridge University Press

DOWNLOAD EBOOK

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

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Kernel Methods in Bioengineering, Signal and Image Processing

Authors: Gustavo Camps-Valls

Categories: Technology & Engineering

Type: BOOK - Published: 2007-01-01 - Publisher: IGI Global

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"This book presents an extensive introduction to the field of kernel methods and real world applications. The book is organized in four parts: the first is an i

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Kernel Methods for Remote Sensing Data Analysis

Authors: Gustau Camps-Valls

Categories: Technology & Engineering

Type: BOOK - Published: 2009-09-03 - Publisher: John Wiley & Sons

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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: 507

Linear Algebra and Optimization for Machine Learning

Authors: Charu C. Aggarwal

Categories: Computers

Type: BOOK - Published: 2020-05-13 - Publisher: Springer Nature

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This textbook introduces linear algebra and optimization in the context of machine learning. Examples and exercises are provided throughout the book. A solution