A Probabilistic Theory of Pattern Recognition (Stochastic Modelling and Applied Probability) pdf epub mobi txt 電子書 下載2025
- 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
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.
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Another rigorous textbook on learning theory. Focus on the nonparametric methods. Highly recommended!
评分這本書可以cite到很多folklore，基礎理論值得反復重讀。minimax部分非常係統。
评分holy bible
评分這本書可以cite到很多folklore，基礎理論值得反復重讀。minimax部分非常係統。
评分holy bible
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