2011新书--统计模式识别（第3版）

Andrew R. Webb, Keith D. Copsey, "Statistical Pattern Recognition, 3 edition"
Wiley | 2011 | ISBN: 0470682272, 0470682280 | 666 pages | PDF | 6,4 MB


●下载之前,建议你点击左侧我的头像下方的“+加关注”，以便第一时间免费下载我的资料，因为我通常免费两天到一周时间。专业发布美国一线流行教材（经济学和数学）●


简介：本书详细介绍了密度估计（分参数、贝叶斯和非参数三章）、线性判别分析、非线性判别分析、决策树归纳、多分类器融合、性能估计、聚类法、复杂网络等内容。
Statistical pattern recognition relates to the use of statistical techniques for analysing data measurements in order to extract information and make justified decisions. It is a very active area of study and research, which has seen many advances in recent years. Applications such as data mining, web searching, multimedia data retrieval, face recognition, and cursive handwriting recognition, all require robust and efficient pattern recognition techniques.

This third edition provides an introduction to statistical pattern theory and techniques, with material drawn from a wide range of fields, including the areas of engineering, statistics, computer science and the social sciences. The book has been updated to cover new methods and applications, and includes a wide range of techniques such as Bayesian methods, neural networks, support vector machines, feature selection and feature reduction techniques.Technical descriptions and motivations are provided, and the techniques are illustrated using real examples.