Introduction to Statistical Pattern Recognition, Second Edition (Computer Science and Scientific Com 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024


Introduction to Statistical Pattern Recognition, Second Edition (Computer Science and Scientific Com

简体网页||繁体网页
Keinosuke Fukunaga 作者
Academic Press
译者
1990-10 出版日期
592 页数
USD 110.00 价格
Hardcover
丛书系列
9780122698514 图书编码

Introduction to Statistical Pattern Recognition, Second Edition (Computer Science and Scientific Com 在线电子书 图书标签: 模式识别  统计模式识别  机器学习  Statistics  统计  计算机科学  计算机技术  recognition   


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发表于2024-12-23


Introduction to Statistical Pattern Recognition, Second Edition (Computer Science and Scientific Com 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Introduction to Statistical Pattern Recognition, Second Edition (Computer Science and Scientific Com 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Introduction to Statistical Pattern Recognition, Second Edition (Computer Science and Scientific Com 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024



Introduction to Statistical Pattern Recognition, Second Edition (Computer Science and Scientific Com 在线电子书 用户评价

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Fukunaga跟Duda他们代表了一个时代,这本书也是关于经典的Bayes Decision Theory

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Fukunaga跟Duda他们代表了一个时代,这本书也是关于经典的Bayes Decision Theory

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读多了,这些入门型的书都一样

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读多了,这些入门型的书都一样

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Fukunaga跟Duda他们代表了一个时代,这本书也是关于经典的Bayes Decision Theory

Introduction to Statistical Pattern Recognition, Second Edition (Computer Science and Scientific Com 在线电子书 著者简介


Introduction to Statistical Pattern Recognition, Second Edition (Computer Science and Scientific Com 在线电子书 图书目录


Introduction to Statistical Pattern Recognition, Second Edition (Computer Science and Scientific Com 在线电子书 pdf 下载 txt下载 epub 下载 mobi 在线电子书下载

Introduction to Statistical Pattern Recognition, Second Edition (Computer Science and Scientific Com 在线电子书 图书描述

This completely revised second edition presents an introduction to statistical pattern recognition. Pattern recognition in general covers a wide range of problems: it is applied to engineering problems, such as character readers and wave form analysis as well as to brain modeling in biology and psychology. Statistical decision and estimation, which are the main subjects of this book, are regarded as fundamental to the study of pattern recognition. This book is appropriate as a text for introductory courses in pattern recognition and as a reference book for workers in the field. Each chapter contains computer projects as well as exercises.

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