319 search results - page 11 / 64 » Learning Equivalence Classes of Bayesian Network Structures |
UAI
1996
14 years 10 months ago
1996
In this paper we examine a novel addition to the known methods for learning Bayesian networks from data that improves the quality of the learned networks. Our approach explicitly ...
JETAI
1998
14 years 9 months ago
1998
Graphical structures such as Bayesian networks or Markov networks are very useful tools for representing irrelevance or independency relationships, and they may be used to e cientl...
105
click to vote
CORR
2011
Springer
14 years 4 months ago
2011
Springer
We consider a class of learning problems regularized by a structured sparsity-inducing norm defined as the sum of 2- or ∞-norms over groups of variables. Whereas much effort ha...
IJAR
2006
14 years 9 months ago
2006
Probabilistic decision graphs (PDGs) are a representation language for probability distributions based on binary decision diagrams. PDGs can encode (context-specific) independence...
IICAI
2003
14 years 11 months ago
2003
Abstract. We introduce a new genetic algorithm approach for learning a Bayesian network structure from data. Our method is capable of learning over all node orderings and structure...