496 search results - page 22 / 100 » Semi-Supervised Learning of Mixture Models |
231
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ROCAI
2004
Springer
15 years 8 months ago
2004
Springer
We introduce a model class for statistical learning which is based on mixtures of propositional rules. In our mixture model, the weight of a rule is not uniform over the entire ins...
116
Voted
GECCO
2009
Springer
15 years 9 months ago
2009
Springer
We present a probabilistic formulation of UCS (a sUpervised Classifier System). UCS is shown to be a special case of mixture of experts where the experts are learned independentl...
122
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ICML
2007
IEEE
16 years 3 months ago
2007
IEEE
We introduce a new inference algorithm for Dirichlet process mixture models. While Gibbs sampling and variational methods focus on local moves, the new algorithm makes more global...
96
Voted
ICPR
2004
IEEE
16 years 3 months ago
2004
IEEE
How to determine the number of clusters is an intractable problem in clustering analysis. In this paper, we propose a new learning paradigm named Maximum Weighted Likelihood (MwL)...
146
Voted
NIPS
2004
15 years 4 months ago
2004
Capturing dependencies in images in an unsupervised manner is important for many image processing applications. We propose a new method for capturing nonlinear dependencies in ima...