467 search results - page 15 / 94 » Learning Mixtures of DAG Models |
DAGM
2010
Springer
13 years 8 months ago
2010
Springer
Density modeling is notoriously difficult for high dimensional data. One approach to the problem is to search for a lower dimensional manifold which captures the main characteristi...
ROCAI
2004
Springer
14 years 28 days 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...
JMLR
2006
13 years 7 months ago
2006
We describe anytime search procedures that (1) find disjoint subsets of recorded variables for which the members of each subset are d-separated by a single common unrecorded cause...
GECCO
2009
Springer
14 years 2 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...
ICML
2007
IEEE
14 years 8 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...