148 search results - page 5 / 30 » Discriminative parameter learning for Bayesian networks |
IDA
2007
Springer
15 years 3 months ago
2007
Springer
76
Voted
UAI
1997
14 years 11 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...
ICML
2005
IEEE
15 years 10 months 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...
95
Voted
AIIA
2003
Springer
15 years 2 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...
105
Voted
UAI
1998
14 years 11 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...