7059 search results - page 81 / 1412 » Bayesian network management |
AI
2010
Springer
13 years 9 months ago
2010
Springer
Bayesian networks (BNs) are used to represent and ef ciently compute with multi-variate probability distributions in a wide range of disciplines. One of the main approaches to per...
CORR
2000
Springer
13 years 9 months ago
2000
Springer
A general notion of algebraic conditional plausibility measures is de ned. Probability measures, ranking functions, possibility measures, and under the appropriate de nitions sets...
ML
2010
ACM
13 years 8 months ago
2010
ACM
In several domains it is common to have data from different, but closely related problems. For instance, in manufacturing, many products follow the same industrial process but with...
UAI
1993
13 years 11 months ago
1993
In previous work we developed a method of learning Bayesian Network models from raw data. This method relies on the well known minimal description length (MDL) principle. The MDL ...
UAI
1996
13 years 11 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 ...