圖書標籤: 機器學習 模式識彆 pattern_recognition Statistics 概率論與統計學 統計學習 統計 計算機技術
发表于2024-11-22
A Probabilistic Theory of Pattern Recognition (Stochastic Modelling and Applied Probability) pdf epub mobi txt 電子書 下載 2024
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-ranging and up-to-date account of a fast- moving field.
這本書可以cite到很多folklore,基礎理論值得反復重讀。minimax部分非常係統。
評分Another rigorous textbook on learning theory. Focus on the nonparametric methods. Highly recommended!
評分Another rigorous textbook on learning theory. Focus on the nonparametric methods. Highly recommended!
評分Another rigorous textbook on learning theory. Focus on the nonparametric methods. Highly recommended!
評分Another rigorous textbook on learning theory. Focus on the nonparametric methods. Highly recommended!
評分
評分
評分
評分
A Probabilistic Theory of Pattern Recognition (Stochastic Modelling and Applied Probability) pdf epub mobi txt 電子書 下載 2024