文件名称:pattern-recognition
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模式识别的内容,包括模式识别的基本概念、模式识别方法及应用。具体的内容包括:正则化网络、Bayes决策理论、分类器组合、统计学习理论、概率密度估计、非监督学习方法-Pattern recognition, including the basic concepts of pattern recognition, pattern recognition methods and applications.Specific content, including: Regularization Networks, Bayesian decision theory, classifier combination, statistical learning theory, probability density estimation, non-supervised learning method
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pattern recognition
...................\七SVM.pdf
...................\三概率密度估计.pdf
...................\九分类器组合.pdf
...................\二Bayes决策理论.pdf
...................\五人工神经网络简介.pdf
...................\八正则化网络.pdf
...................\六统计学习理论.pdf
...................\十一非监督学习方法.pdf
...................\十特征空间.pdf
...................\四线性判别函数.pdf
...................\导论.pdf
...................\新建 文本文档.txt
...................\七SVM.pdf
...................\三概率密度估计.pdf
...................\九分类器组合.pdf
...................\二Bayes决策理论.pdf
...................\五人工神经网络简介.pdf
...................\八正则化网络.pdf
...................\六统计学习理论.pdf
...................\十一非监督学习方法.pdf
...................\十特征空间.pdf
...................\四线性判别函数.pdf
...................\导论.pdf
...................\新建 文本文档.txt