Search - minimum risk bayes classifier

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[AI-NN-PR] work_for_pattern_recognition DL : 0: 通过设计线性分类器；最小风险贝叶斯分类器；监督学习法分层聚类分析；K－L变换提取有效特征，设计支持向量机对给定样本进行有效分类并分析结果。-By designing a linear classifier minimum risk Bayes classifier supervised learning method hierarchical cluster analysis K-L transform to extract efficient features, designed to support vector machines for effective classification of a given sample and analyze the results.
Date : 2025-12-18 Size : 2.48mb User : 于冰
[AI-NN-PR] BayesClassifier DL : 0: 自己做的贝叶斯分类器，包括基本贝叶斯，最小风险贝叶斯以及Neyman-Pearson决策-Do bayes classifier, including basic bayesian, the minimum risk bayesian and Neyman-Pearson decisions
Date : 2025-12-18 Size : 752kb User : 风之子
[AI-NN-PR] PNN网络代码 DL : 0: 概率神经网络(Probabilistic Neural Network)是由D.F.Speeht博士在1989年首先提出，是径向基网络的一个分支，属于前馈网络的一种。它具有如下优点：学习过程简单、训练速度快；分类更准确，容错性好等。从本质上说，它属于一种有监督的网络分类器，基于贝叶斯最小风险准则。(Probabilistic neural network was first proposed by Dr. D.F.Speeht in 1989. It is a branch of radial basis networks and belongs to a feedforward network. It has the following advantages: the learning process is simple, the training speed is fast, the classification is more accurate, and the fault tolerance is good. Essentially, it belongs to a supervised network classifier based on the Bayes minimum risk criterion.)
Date : 2025-12-18 Size : 5kb User : gahuan