496 search results - page 10 / 100 » Semi-Supervised Learning of Mixture Models |
143
Voted
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
15 years 10 months ago
1995
IEEE
88
Voted
ICML
2005
IEEE
15 years 10 months 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...
62
Voted
PAMI
2008
14 years 9 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...
88
Voted
PCI
2005
Springer
15 years 3 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...