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Update : 2025-04-26 Size : 888kb Publisher : 萧峙清

KLDIV Kullback-Leibler or Jensen-Shannon divergence between two distributions.
Update : 2025-04-26 Size : 1.92mb Publisher : Jun-You Lin

DL : 0
Kullback-leibler divergence
Update : 2025-04-26 Size : 2kb Publisher : kathie

Joaquin Goñ i <jgoni@unav.es> & Iñ igo Martincorena <imartincore@alumni.unav.es> University of Navarra - Dpt. of Physics and Applied Mathematics & Centre for Applied Medical Research. Pamplona (Spain). December 13th, 2007. Information Theory Toolbox v1.0 The Toolbox includes: -entropy -conditional entropy -mutual information -redundancy -symmetric uncertainty -Kullback-Leibler divergence -Jensen-Shannon divergence type help for each command to get a detailed description Citation: If you use them for your academic research work,please kindly cite this toolbox as: Joaquin Goñ i, Iñ igo Martincorena. Information Theory Toolbox v1.0. University of Navarra - Dpt. of Physics and Applied Mathematics & Centre for Applied Medical Research. Pamplona (Spain). -Joaquin Goñ i <jgoni@unav.es> & Iñ igo Martincorena <imartincore@alumni.unav.es> University of Navarra- Dpt. of Physics and Applied Mathematics & Centre for Applied Medical Research. Pamplona (Spain). December 13th, 2007. Information Theory Toolbox v1.0 The Toolbox includes: -entropy -conditional entropy -mutual information -redundancy -symmetric uncertainty -Kullback-Leibler divergence -Jensen-Shannon divergence type help for each command to get a detailed description Citation: If you use them for your academic research work,please kindly cite this toolbox as: Joaquin Goñ i, Iñ igo Martincorena. Information Theory Toolbox v1.0. University of Navarra- Dpt. of Physics and Applied Mathematics & Centre for Applied Medical Research. Pamplona (Spain).
Update : 2025-04-26 Size : 16kb Publisher : le thanh tan

DL : 0
This function calculates the Kullback Leibler divergence distance for Gaussians.
Update : 2025-04-26 Size : 1kb Publisher : ANU

DL : 0
Structured covariance estimation. The routine takes a covariance matrix as input and returns the Toeplitz matrix that lies closest to it, in the sense that it minimizes the Kullback-Leibler divergence between the two. Input must be a real, square, symmetric and positive semi-definite matrix.
Update : 2025-04-26 Size : 1kb Publisher : ruso

DL : 0
Kullback-Leibler or Jensen-Shannon divergence between two distributions.
Update : 2025-04-26 Size : 2kb Publisher : ysd

语音处理GMM相关算法,1.计算概率密度并画出高斯混合模型,2.计算边际,条件混合高斯密度,3估计两个GMM模型的Kullback-Leibler divergence。-GMM relating to speech processing algorithms.1,to calculate probability densities from or plot a Gaussian mixture model.2,marginal and conditional Gaussian mixture densities. 3, Kullback-Leibler divergence between two GMMs .
Update : 2025-04-26 Size : 21kb Publisher : 王愈

This function calculates the Kullback Leibler divergence distance for Gaussians.
Update : 2025-04-26 Size : 1kb Publisher : zhuia299517
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