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[Special Effects] EM_GM DL : 0: 混合高斯分布EM算法，可以算混合高斯分布的三个参数。混合高斯分布更接近系数分布。-mixed Gaussian distribution EM algorithm can calculate mixed Gaussian distribution of the three parameters. Mixed closer to the Gaussian distribution coefficient.
Update : 2008-10-13 Size : 8.76kb Publisher : 连强
[Other resource] em_gm DL : 0: EM算法是机器学习领域中常用的一种算法，这个文件是EM算法最简单的一种实现，即在Gaussian Mixture model上面的EM。
Update : 2008-10-13 Size : 3.21kb Publisher : De-Chuan Zhan
[Other resource] EM_GM DL : 0: ％ EM algorithm for k multidimensional Gaussian mixture estimation ％％ Inputs: ％ X(n,d) - input data, n=number of observations, d=dimension of variable ％ k - maximum number of Gaussian components allowed ％ ltol - percentage of the log likelihood difference between 2 iterations ([] for none) ％ maxiter - maximum number of iteration allowed ([] for none) ％ pflag - 1 for plotting GM for 1D or 2D cases only, 0 otherwise ([] for none) ％ Init - structure of initial W, M, V: Init.W, Init.M, Init.V ([] for none) ％％ Ouputs: ％ W(1,k) - estimated weights of GM ％ M(d,k) - estimated mean vectors of GM ％ V(d,d,k) - estimated covariance matrices of GM ％ L - log likelihood of estimates ％
Update : 2008-10-13 Size : 3.34kb Publisher : Shaoqing Yu
[Special Effects] EM_GM DL : 0: 混合高斯分布EM算法，可以算混合高斯分布的三个参数。混合高斯分布更接近系数分布。-mixed Gaussian distribution EM algorithm can calculate mixed Gaussian distribution of the three parameters. Mixed closer to the Gaussian distribution coefficient.
Update : 2025-02-17 Size : 9kb Publisher : 连强
[AI-NN-PR] em_gm DL : 0: EM算法是机器学习领域中常用的一种算法，这个文件是EM算法最简单的一种实现，即在Gaussian Mixture model上面的EM。-EM field of machine learning algorithm is commonly used in an algorithm, this document is the most simple EM algorithm as a realization that, in Gaussian Mixture model above EM.
Update : 2025-02-17 Size : 3kb Publisher : De-Chuan Zhan
[matlab] EM_GM DL : 0: ％ EM algorithm for k multidimensional Gaussian mixture estimation ％％ Inputs: ％ X(n,d) - input data, n=number of observations, d=dimension of variable ％ k - maximum number of Gaussian components allowed ％ ltol - percentage of the log likelihood difference between 2 iterations ([] for none) ％ maxiter - maximum number of iteration allowed ([] for none) ％ pflag - 1 for plotting GM for 1D or 2D cases only, 0 otherwise ([] for none) ％ Init - structure of initial W, M, V: Init.W, Init.M, Init.V ([] for none) ％％ Ouputs: ％ W(1,k) - estimated weights of GM ％ M(d,k) - estimated mean vectors of GM ％ V(d,d,k) - estimated covariance matrices of GM ％ L - log likelihood of estimates ％- EM algorithm for k multidimensional Gaussian mixture estimation Inputs: X (n, d)- input data, n = number of observations, d = dimension of variable k- maximum number of Gaussian components allowed ltol- percentage of the log likelihood difference between 2 iterations ([] for none) maxiter- maximum number of iteration allowed ([] for none) pflag- 1 for plotting GM for 1D or 2D cases only, 0 otherwise ([] for none) Init- structure of initial W, M, V: Init.W, Init.M, Init.V ([] for none) Ouputs: W (1, k)- estimated weights of GM M (d, k)- estimated mean vectors of GM V (d, d, k)- estimated covariance matrices of GM L- log likelihood of estimates
Update : 2025-02-17 Size : 3kb Publisher : Shaoqing Yu
[Speech/Voice recognition/combine] EM_GM DL : 0: EM_GM模型的MATLAB实现,在语音识别方面很有用！-MATLAB model EM_GM realization aspects in speech recognition is useful!
Update : 2025-02-17 Size : 3kb Publisher : 简菱
[AI-NN-PR] EM_GM DL : 0: 针对于K维高斯混合模型估计的期望最大算法-EM algorithm for k multidimensional Gaussian mixture estimation
Update : 2025-02-17 Size : 1kb Publisher : scaning
[MiddleWare] EM_GM DL : 0: em算法的介绍和一个游泳的事例是大家学习交流的很好的程序请大家多顶-good
Update : 2025-02-17 Size : 9kb Publisher : 胖子
[Graph program] EM_GM DL : 0: EM算法实现,是matlab主站上获得的可靠程序。-EM algorithm，which is from the matlab net about image processing.
Update : 2025-02-17 Size : 40kb Publisher : 朱亮亮
[Other] EM_GM DL : 0: Smoothed bootstrap Newcomb s speed-of-light data are used in the book Bayesian Data Analysis b
Update : 2025-02-17 Size : 3kb Publisher : xzhe
[matlab] EM_GM DL : 0: algorithm EM for gaussian mixture
Update : 2025-02-17 Size : 3kb Publisher : soumia
[Speech/Voice recognition/combine] EM_GM DL : 0: 这是关于说话人识别很好的源程序，对研究GMM模型的说话人识别有很好的价值。-They are programms about speaker recognition, and they are helpful to the study about GMM speaker recognition.
Update : 2025-02-17 Size : 33kb Publisher : laiyuping
[matlab] EM_GM DL : 0: this is expectation maximize algorithm for guassian mixture
Update : 2025-02-17 Size : 3kb Publisher : mohsen
[matlab] EM_GM DL : 0: EM算法和高斯模型的，用Matlab编程工具编写，实现功能快速-EM algorithm and the Gaussian model, using Matlab programming tools to write, to achieve rapid function
Update : 2025-02-17 Size : 44kb Publisher : xiajulong
[Algorithm] EM_GM DL : 0: gaussion medel function [W,M,V,L] = EM_GM(X,k,ltol,maxiter,pflag,Init) [W,M,V,L] = EM_GM(X,k,ltol,maxiter,pflag,Init) -gaussion medel function [W,M,V,L] = EM_GM(X,k,ltol,maxiter,pflag,Init) [W,M,V,L] = EM_GM(X,k,ltol,maxiter,pflag,Init)
Update : 2025-02-17 Size : 3kb Publisher : cuicui
[matlab] EM_GM DL : 0: EM algorithm for Gaussian Mixture Model
Update : 2025-02-17 Size : 3kb Publisher : Muhammad Bilal
[matlab] EM_GM DL : 0: EM algorithm for k multidimensional Gaussian mixture estimation
Update : 2025-02-17 Size : 3kb Publisher : Леля
[Editor] EM_GM DL : 0: EM algorithm for k multidimensional Gaussian mixture estimation
Update : 2025-02-17 Size : 2kb Publisher : hagacom
[Other] EM_GM DL : 0: EM algorithm for Gaussian mixture (EM_GM) learning is well known
Update : 2025-02-17 Size : 4kb Publisher : hagacom

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