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An Elementary Introduction to Statistical Learning Theory (Wiley Series in Probability and Statistics)

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Notă GoodReads:
en Limba Engleză Hardback – 15 Jul 2011
* 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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Specificații

ISBN-13: 9780470641835
ISBN-10: 0470641835
Pagini: 232
Dimensiuni: 172 x 242 x 19 mm
Greutate: 0.5 kg
Editura: Wiley
Seria Wiley Series in Probability and Statistics

Locul publicării: Hoboken, United States

Public țintă

As a book for introductory courses on statistical learning theory and machine learning at the upper–undergraduate and graduate levels; as a reference for researchers and practitioners in the fields of engineering, computer science, philosophy, and cognitive science; and academic libraries.