类型：
成立时间：
出版社特色：
沃新书屋 -
A Probabilistic Theory of Pattern Recognition (Stochastic Modelling and Applied Probability) -
出版社：Springer
Springer
出版社信息：
出版社简介：
暂无相关内容，正在全力查找中
A Probabilistic Theory of Pattern Recognition (Stochastic Modelling and Applied Probability)书籍相关信息
- ISBN：9780387946184
- 作者： / Luc Devroye / Gabor Lugosi
- 出版社：Springer
- 出版时间：1996-04-04
- 页数：651
- 价格：USD 109.00
- 纸张：暂无纸张
- 装帧：Hardcover
- 开本：暂无开本
- 语言：暂无语言
- 适合人群：data scientists, machine learning engineers, statisticians, computer scientists, researchers in artificial intelligence, students of applied mathematics and computer science, professionals in the field of data analysis and pattern recognition
- TAG：data analysis / Machine Learning / Probability Theory / Algorithms / Artificial Intelligence / Applied Probability / Pattern Recognition / stochastic modeling
- 豆瓣评分：暂无豆瓣评分
- 更新时间：2025-05-17 00:24:09
内容简介：
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-ranging and up-to-date account of a fast- moving field.