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EM_GM
- 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.
em_gm
- 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_GM
- ％ 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
EM_GM
- 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.
em_gm
- 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 Gaussi
EM_GM
- ％ 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
EM_GM
- 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!
EM_GM
- 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
EM_GM
- 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
EM_GM
- 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.
EM_GM
- Smoothed bootstrap Newcomb s speed-of-light data are used in the book Bayesian Data Analysis b
EM_GM
- algorithm EM for gaussian mixture
EM_GM
- 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.
EM_GM
- this is expectation maximize algorithm for guassian mixture
EM_GM
- 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
EM_GM
- 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
EM_GM
- EM algorithm for Gaussian Mixture Model
EM_GM
- EM algorithm for k multidimensional Gaussian mixture estimation
EM_GM
- EM algorithm for k multidimensional Gaussian mixture estimation
EM_GM
- EM algorithm for Gaussian mixture (EM_GM) learning is well known