An Elementary Introduction to Statistical Learning Theory by Sanjeev Kulkarni (E
134,81 €
By Sanjeev Kulkarni, Gilbert Harman. To enhance accessibility, two chapters on relevant aspects of probability theory are provided. Subsequent chapters feature coverage of topics such as the pattern recognition problem, optimal Bayes decision rule, the nearest neighbor rule, kernel rules, neural networks, support vector machines, and boosting.
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