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Consisting of 21 chapters authored by leading researchers in machine learning, this comprehensive reference Regularization, Optimization, Kernels, and Support Vector Machines is ideal for researchers in machine learning, pattern recognition, data mining, signal processing, statistical learning, and related areas.
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