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NPL
2002
140views more  NPL 2002»
15 years 3 months ago
A Greedy EM Algorithm for Gaussian Mixture Learning
Learninga Gaussian mixturewithalocal algorithm like EMcanbe dif
Nikos A. Vlassis, Aristidis Likas
116
Voted
IDA
2010
Springer
15 years 2 months ago
Relevant subtask learning by constrained mixture models
Jaakko Peltonen, Yusuf Yaslan, Samuel Kaski
172
Voted
TNN
2010
216views Management» more  TNN 2010»
14 years 11 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»
15 years 3 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...