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A Probabilistic Theory of Pattern Recognition (Stochastic Modelling and Applied Probability)

A Probabilistic Theory of Pattern Recognition (Stochastic Modelling and Applied Probability) 9.4分

资源最后更新于 2020-09-05 22:00:09

作者:Luc Devroye

出版社:Springer

出版日期:1996-01

ISBN:9780387946184

文件格式: pdf

标签: 机器学习 模式识别 pattern_recognition Statistics 概率论与统计学 统计学习 统计 计算机技术

简介· · · · · ·

A self-contained and coherent account of probabilistic techniques, covering: distance measures, kernel rules, nearest neighbour rules, Vapnik-Chervonenkis theory, parametric classification, and feature extraction. Each chapter concludes with problems and exercises to further the readers understanding. Both research workers and graduate students will benefit from this wide-rangi...

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