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By Ulisses Braga-Neto. Author Ulisses Braga-Neto. The book combines theory and practice and is suitable to the classroom and self-study. The book is intended to be concise but thorough. In addition, the selection of topics has a few features that are unique among comparable texts: it contains an extensive chapter on classifiererror estimation, as well as sections on Bayesian classification, Bayesian error estimation, separate sampling, and rank-based classification.The book is mathematically rigorous and covers the classical theorems in the area.
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