496 search results - page 10 / 100 » Semi-Supervised Learning of Mixture Models |
157
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Presentation
Presentation of the exponential families, of the mixtures of such distributions and how to learn it. We then present algorithms to simplify mixture model, using Kullback-Leibler di...
ICML
1995
IEEE
16 years 15 days ago
1995
IEEE
109
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ICML
2005
IEEE
16 years 15 days ago
2005
IEEE
Graph-based methods for semi-supervised learning have recently been shown to be promising for combining labeled and unlabeled data in classification problems. However, inference f...
PAMI
2008
14 years 11 months ago
2008
Mixture of Gaussians (MoG) model is a useful tool in statistical learning. In many learning processes that are based on mixture models, computational requirements are very demandin...
100
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PCI
2005
Springer
15 years 5 months ago
2005
Springer
Abstract. It has been recently demonstrated that the classical EM algorithm for learning Gaussian mixture models can be successfully implemented in a decentralized manner by resort...