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Adaptive Mixtures Density Estimation的matlab实现-Adaptive Mixtures Density Estimation of ma tlab achieve
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利用支持向量回归进行概率密度估计，从而计算信息熵-The use of support vector regression for probability density estimation, in order to estimate the information entropy
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In statistics, a mixture model is a probabilistic model for density estimation using a mixture distribution. A mixture model can be regarded as a type of unsupervised learning or clustering. Mixture models should not be confused with models for compo
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该程序源码中包括了各种典型分布的二维数据的自动生成，二维概率密度函数的极大似然估计和窗函数估计，bayes分类器的设计和分类器错误率的多种方法估计-The program includes a variety of typical source distribution of the automatic generation of two-dimensional data, two-dimensional probability density function of the maximum l
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机器学习matlab源代码，包括多分类SVM，模式识别，特征选择，回归等算法。-The spider is intended to be a complete object orientated environment for machine learning in Matlab. Aside from easy use of base learning algorithms, algorithms can be plugged together and can be compared with
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本文提出了一种基于小波变换与灰度共生矩阵的人群密度特征提取方法，进而利用支撑向量机实现人群密度级别的估
计。实验结果表明本文提出的方法是可行的。-In this paper, based on population density characteristics of the wavelet transform and GLCM extraction method, and then using the support vector machine to estimate the crowd
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K近邻（KNN）：分类算法KNN是non-parametric分类器（不做分布形式的假设，直接从数据估计概率密度），是memory-based learning KNN不适用于高维数据（curse of dimension）-K-Nearest Neighbor (KNN): Classification Algorithm. KNN is a non-parametric classifiers (not to assume that the distribution of forms, fr
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FFT 概率密度函数估计 概率论与数理统计-FFT probability density function estimation
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给定若干三维数据，建立训练概率模型，并对新数据进行估计。包括高斯模型、Parzen窗和K近邻密度估计-Given a number of three-dimensional data, the establishment of training probability model, and the new data is estimated. Including the Gaussian model, Parzen windows and K nearest neighbor density e
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聚类算法之高斯混合模型，GMM 和 k-means 很像，不过 GMM 是学习出一些概率密度函数来（所以 GMM 除了用在 clustering 上之外，还经常被用于 density estimation ）。-Gaussian mixture model of clustering algorithm, GMM and k-means like, but GMM is learning some probability density function (so GMM except on cl
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用非参数估计的方法（核密度估计）来估计互信息-Nonparametric estimation method (kernel density estimation) to estimate the mutual information
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核密度KDE估计程序 开发环境matlab 不错的源码 推荐一下-KDE nuclear density estimation procedure development environment of matlab source code recommend
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核密度KDE估计程序 开发环境matlab 不错的源码 推荐一下-KDE nuclear density estimation procedure development environment of matlab source code recommend
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