Description: 用matlab编写的用语分类的支持向量机-using Matlab language prepared by the breakdown of support vector machines Platform: |
Size: 798665 |
Author:杨林 |
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Description: bayeserr - Computes the Bayesian risk for optimal classifier.
% bayescln - Classifier based on Bayes decision rule for Gaussians.
% bayesnd - Discrim. function, dichotomy, max aposteriori probability.
% bhattach - Bhattacharya s upper limit of mean class. error.
% pbayescln - Plots discriminat function of Bayes classifier.-bayeserr- Computes the Bayesian risk for o ptimal classifier. % bayescln- Classifier bas ed on Bayesian decision rule for Gaussians. Bayes% nd- Discrim. function, dichotomy. max aposteriori probability. % bhattach- Bhat tacharya s upper limit of mean class. error. pb% ayescln- Plots discriminat function of Bayes c lassifier. Platform: |
Size: 5120 |
Author:孟庆 |
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Description: 关于Bayes分类器的 实验数据都有 大家相互共享 很好用的软件-Bayesian classifier on the experimental data we have very good mutual sharing of software Platform: |
Size: 270336 |
Author: |
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Description: 用matlab编写的用语分类的支持向量机-using Matlab language prepared by the breakdown of support vector machines Platform: |
Size: 798720 |
Author:杨林 |
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Description: 用Matlab编写的Bayes 分类器,用以进行两类模式识别-prepared using Matlab Bayesian classifier, used for two types of pattern recognition Platform: |
Size: 1024 |
Author:刘小强 |
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Description: Bayes分类器设计,对模式识别有一个初步的理解,能够根据自己的设计对贝叶斯决策理论算法有一个深刻地认识-Bayesian classifier design, pattern recognition to a preliminary understanding, According to the design of Bayesian decision theory algorithm has a profound understanding Platform: |
Size: 44032 |
Author:飘来的南风 |
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Description: support vector manchine and kNN分类的源代码.支持向量机是数据处理的比较良好的方法.最紧邻分类也是比较经典的-support vector manchine and kNN classification of the source code. Support Vector Machine is a good comparison of data-processing method. s classification is relatively close to the classic Platform: |
Size: 48128 |
Author:武林芝 |
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Description: 自己编的matlab程序。用于模式识别中特征的提取。是特征提取中的Sequential Forward Selection方法,简称sfs.它可以结合Maximum-Likelihood-Classifier分类器进行使用。-The matlab own procedures. For Pattern Recognition Feature Extraction. Feature Extraction is the Sequential Forward Selection method, referred to as sfs. It can be combined with Maximum-Likelihood-Classifier classifier used. Platform: |
Size: 1024 |
Author:limingxian |
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Description: 用matlab实现的朴素贝叶斯分类源代码,希望对大家有些帮助-Using matlab realize the Naive Bayesian Classifier source code, in the hope that some U.S. help Platform: |
Size: 1024 |
Author:fanny |
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