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Kernel Methods for Pattern Analysis - Shawe-Taylor, John (University of Southampton) a Cristianini, Nello (University of California, Davis)

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.

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