321 search results - page 19 / 65 » Learning Bayesian Networks with Local Structure |
130
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PPSN
2004
Springer
15 years 7 months ago
2004
Springer
Bayesian networks (BN) constitute a useful tool to model the joint distribution of a set of random variables of interest. To deal with the problem of learning sensible BN models fr...
110
Voted
JMLR
2010
14 years 8 months ago
2010
We present a continuous time Bayesian network reasoning and learning engine (CTBN-RLE). A continuous time Bayesian network (CTBN) provides a compact (factored) description of a co...
138
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DMIN
2006
15 years 3 months ago
2006
In this paper, we propose a post randomization technique to learn a Bayesian network (BN) from distributed heterogeneous data, in a privacy sensitive fashion. In this case, two or ...
96
Voted
AAAI
2006
15 years 3 months ago
2006
We offer a complete characterization of the set of distributions that could be induced by local interventions on variables governed by a causal Bayesian network of unknown structu...
124
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UAI
1992
15 years 3 months ago
1992
Current Bayesian net representations do not consider structure in the domain and include all variables in a homogeneous network. At any time, a human reasoner in a large domain ma...