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NPL
2002
140views more  NPL 2002»
13 years 7 months ago
A Greedy EM Algorithm for Gaussian Mixture Learning
Learninga Gaussian mixturewithalocal algorithm like EMcanbe dif
Nikos A. Vlassis, Aristidis Likas
19
Voted
IDA
2010
Springer
13 years 6 months ago
Relevant subtask learning by constrained mixture models
Jaakko Peltonen, Yusuf Yaslan, Samuel Kaski
TNN
2010
216views Management» more  TNN 2010»
13 years 2 months ago
Simplifying mixture models through function approximation
Finite mixture model is a powerful tool in many statistical learning problems. In this paper, we propose a general, structure-preserving approach to reduce its model complexity, w...
Kai Zhang, James T. Kwok
ML
2002
ACM
111views Machine Learning» more  ML 2002»
13 years 7 months ago
Maximum Likelihood Estimation of Mixture Densities for Binned and Truncated Multivariate Data
Binningandtruncationofdataarecommonindataanalysisandmachinelearning.Thispaperaddresses the problem of fitting mixture densities to multivariate binned and truncated data. The EM ap...
Igor V. Cadez, Padhraic Smyth, Geoffrey J. McLachl...