Synopsis
A unique account of developing topic in data mining and machine learning.
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Kernel Methods for Pattern Analysis
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Cambridge University Press, 2004
ISBN 10: 0521813972
ISBN 13: 9780521813976
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Kernel Methods for Pattern Analysis
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Cambridge University Press, 2004
ISBN 10: 0521813972
ISBN 13: 9780521813976
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Kernel Methods for Pattern Analysis
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Cambridge University Press, 2004
ISBN 10: 0521813972
ISBN 13: 9780521813976
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Kernel methods for pattern analysis John Shawe-Taylor, Nello Cristianini.
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Cambridge, Cambridge UP, 2004
ISBN 10: 0521813972
ISBN 13: 9780521813976
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Kernel Methods for Pattern Analysis
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ISBN 13: 9780521813976
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Kernel Methods for Pattern Analysis
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Kernel Methods for Pattern Analysis
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Kernel Methods for Pattern Analysis
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Kernel Methods for Pattern Analysis
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Kernel Methods for Pattern Analysis (Hardcover)
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Cambridge University Press, Cambridge, 2004
ISBN 10: 0521813972
ISBN 13: 9780521813976
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Hardcover. Condition: new. Hardcover. 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. This book provides professionals with a large selection of algorithms, kernels and solutions ready for implementation and suitable for standard pattern discovery problems in fields such as bioinformatics, text analysis and image analysis. It also serves as an 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9780521813976