275 search results - page 4 / 55 » A geometric view on learning Bayesian network structures |
82
Voted
FLAIRS
2008
15 years 5 months ago
2008
121
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APIN
1999
15 years 3 months ago
1999
We present a method for mapping a given Bayesian network to a Boltzmann machine architecture, in the sense that the the updating process of the resulting Boltzmann machine model pr...
123
Voted
JMLR
2010
14 years 10 months ago
2010
We study the problem of learning an optimal Bayesian network in a constrained search space; skeletons are compelled to be subgraphs of a given undirected graph called the super-st...
108
Voted
ICML
2000
IEEE
16 years 4 months ago
2000
IEEE
We introduce an expandable Bayesian network (EBN) to handle the combination of diverse multiple homogeneous evidence sets. An EBN is an augmented Bayesian network which instantiat...
127
Voted
ICDM
2003
IEEE
15 years 8 months ago
2003
IEEE
Learning Bayesian network structure from large-scale data sets, without any expertspecified ordering of variables, remains a difficult problem. We propose systematic improvements ...