148 search results - page 5 / 30 » Discriminative parameter learning for Bayesian networks |
IDA
2007
Springer
15 years 5 months ago
2007
Springer
UAI
1997
15 years 1 months ago
1997
This paper re-examines the problem of parameter estimation in Bayesian networks with missing values and hidden variables from the perspective of recent work in on-line learning [1...
92
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ICML
2005
IEEE
16 years 16 days ago
2005
IEEE
In many domains, a Bayesian network's topological structure is not known a priori and must be inferred from data. This requires a scoring function to measure how well a propo...
111
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AIIA
2003
Springer
15 years 5 months ago
2003
Springer
A bayesian network is an appropriate tool for working with uncertainty and probability, that are typical of real-life applications. In literature we find different approaches for b...
122
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UAI
1998
15 years 1 months ago
1998
In recent years there has been a flurry of works on learning Bayesian networks from data. One of the hard problems in this area is how to effectively learn the structure of a beli...