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» A stochastic EM algorithm for a semiparametric mixture model
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ICML
2008
IEEE
14 years 8 months ago
Estimating local optimums in EM algorithm over Gaussian mixture model
EM algorithm is a very popular iteration-based method to estimate the parameters of Gaussian Mixture Model from a large observation set. However, in most cases, EM algorithm is no...
Zhenjie Zhang, Bing Tian Dai, Anthony K. H. Tung
PRL
2000
58views more  PRL 2000»
13 years 7 months ago
Learning mixture models using a genetic version of the EM algorithm
The need to
Aleix M. Martínez, Jordi Vitrià
BMEI
2009
IEEE
13 years 8 months ago
A Kurtosis and Skewness Based Criterion for Model Selection on Gaussian Mixture
The Gaussian mixture model is a powerful statistical tool in data modeling and analysis. Generally, the EM algorithm is utilized to learn the parameters of the Gaussian mixture. Ho...
Lin Wang, Jinwen Ma
ICAPR
2005
Springer
14 years 29 days ago
Multi-view EM Algorithm for Finite Mixture Models
In this paper, Multi-View Expectation and Maximization algorithm for finite mixture models is proposed by us to handle realworld learning problems which have natural feature split...
Xing Yi, Yunpeng Xu, Changshui Zhang
ICPR
2006
IEEE
14 years 8 months ago
EBEM: An Entropy-based EM Algorithm for Gaussian Mixture Models
Antonio Peñalver Benavent, Francisco Escola...