An Elementary Introduction to Statistical Learning TheoryAuthor :
Hardback
Published : Friday 15 July 2011
Description
* Serves as a fundamental introduction to statistical learning theory and its role in understanding human learning and inductive reasoning. * Topics of coverage include: probability, pattern recognition, optimal Bayes decision rule, nearest neighbor rule, kernel rules, neural networks, and support vector machines.
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