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人工智能/神经网络 This code is to estimate the parameter of model of Mixture Gauss which is popular model used in patt
This code is to estimate the parameter of model of Mixture Gauss which is popular model used in pattern classification .
JAVA 写的估计复合高斯模型中的参数
人工智能/神经网络 GUI FOR GENERATING MULTIVARIATE RANDOM VARIABLES FROM MIXTURE的matlab实现
GUI FOR GENERATING MULTIVARIATE RANDOM VARIABLES FROM MIXTURE的matlab实现
matlab例程 EM algorithm based on constrained mixture Gaussion model
EM algorithm based on constrained mixture Gaussion model
matlab例程 Fit a multivariate gaussian mixture by a cross-entropy method. Cross-Entropy is a powerfull tool to
Fit a multivariate gaussian mixture by a cross-entropy method. Cross-Entropy is a powerfull tool to achieve stochastic multi-extremum optimization.
人工智能/神经网络 gaussian mixture modelling in matlab
gaussian mixture modelling in matlab
matlab例程 Creates a Gaussian mixture model with specified architecture.MIX = GMM(DIM, NCENTRES, COVARTYPE) tak
Creates a Gaussian mixture model with specified architecture.MIX = GMM(DIM, NCENTRES, COVARTYPE) takes the dimension of the space
DIM, the number of centres in the mixture model and the type of the
mixture model, and returns a data structure MIX.
matlab例程 ％ EM algorithm for k multidimensional Gaussian mixture estimation ％ ％ Inputs: ％ X(n,d) - input da
％ 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)
％ ...
数学计算 Optimization with Parabolas Mixture Distributions 數學算法
Optimization with Parabolas Mixture Distributions 數學算法
matlab例程 gmmTrain: Parameter training for gaussian mixture model (GMM)
gmmTrain: Parameter training for gaussian mixture model (GMM)
其他 Gaussian Mixture Algorithm
Gaussian Mixture Algorithm