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JMLR
2008
108views more  JMLR 2008»
13 years 7 months ago
A Recursive Method for Structural Learning of Directed Acyclic Graphs
In this paper, we propose a recursive method for structural learning of directed acyclic graphs (DAGs), in which a problem of structural learning for a large DAG is first decompos...
Xianchao Xie, Zhi Geng
JMLR
2010
139views more  JMLR 2010»
13 years 2 months ago
Causal learning without DAGs
Causal learning methods are often evaluated in terms of their ability to discover a true underlying directed acyclic graph (DAG) structure. However, in general the true structure ...
David Duvenaud, Daniel Eaton, Kevin P. Murphy, Mar...
ICML
1996
IEEE
14 years 8 months ago
Applying the Multiple Cause Mixture Model to Text Categorization
Mehran Sahami, Marti A. Hearst, Eric Saund

Presentation
896views
13 years 5 months ago
Exponential families and simplification of mixture models
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...