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mRMR_0.9_compiled最小冗余和最大相关特征选取源代码，-This package is the mRMR (minimum-redundancy maximum-relevancy) feature selection method, whose better performance over the conventional top-ranking method has been demonstrated on a number of data sets in recent pu
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贝叶斯（Bayesion）机器学习相互信息。用于求取熵、联合熵等。改进后可用于随机反演-Bayesian (Bayesion) machine learning of mutual information. Used to obtain entropy, joint entropy and so on. Improved can be used for stochastic inversion
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利用最小互信息实现向量的特征选择，优化分类器的设计，原创-The use of mutual information to achieve the smallest feature selection vectors, optimizing the classifier design, originality
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这个源码是基于互信息图像配准用matlab的实现,需要的就下,啥也不说了,-The source code is based on mutual information image registration matlab implementation, went down, what also don t say,
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这个源码是基于互信息图像配准用matlab的实现,需要的就下,啥也不说了,-The source code is based on mutual information image registration matlab implementation, went down, what also don t say,
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Several new methods sar image denoising, Is a practical method of path planning, Mutual information is useful to calculate a set of procedures.
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conditional entropy, entropy, joint entropy, mutual information, relative entropy basic features are implemented in matlab approach
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