496 search results - page 15 / 100 » Semi-Supervised Learning of Mixture Models |
114
Voted
IJON
1998
15 years 2 months ago
1998
The learned parametric mixture method is presented for a canonical cost function based ICA model on linear mixture, with several new findings. First, its adaptive algorithm is fu...
156
Voted
GECCO
2011
Springer
14 years 6 months ago
2011
Springer
In recent years there have been efforts to develop a probabilistic framework to explain the workings of a Learning Classifier System. This direction of research has met with lim...
153
Voted
ECML
2006
Springer
15 years 6 months ago
2006
Springer
Abstract. This paper studies a Bayesian framework for density modeling with mixture of exponential family distributions. Variational Bayesian Dirichlet-Multinomial allocation (VBDM...
137
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PAMI
2008
15 years 2 months ago
2008
The Expectation Maximization (EM) algorithm is widely used for learning finite mixture models despite its greedy nature. Most popular model-based clustering techniques might yield...
101
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UAI
1998
15 years 3 months ago
1998
We describe computationally efficient methods for learning mixtures in which each component is a directed acyclic graphical model (mixtures of DAGs or MDAGs). We argue that simple...