文件名称:Kuschner-BayesianNetwork-feature
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Kuschner论文,贝叶斯网络方法在质谱数据特征选择。其中关于机器学习中贝叶斯分类器部分有完整原理分析,可以用于认知无线电网络的频谱感知等新领域。含有matlab程序大于100页,子函数很多。-Kuschner paper, Bayesian network methods of feature selection in mass spectrometry data. One of the Bayes classifier machine learning part of a complete theory analysis, can be used for spectrum sensing cognitive radio networks and other new fields. Matlab program contains more than 100 pages, Functions a lot.
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Kuschner BayesianNetwork feature.pdf