506 search results - page 46 / 102 » Learning Bayesian Networks from Incomplete Databases |
116
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IWINAC
2007
Springer
15 years 10 months ago
2007
Springer
One of the key points in Estimation of Distribution Algorithms (EDAs) is the learning of the probabilistic graphical model used to guide the search: the richer the model the more ...
149
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JMLR
2010
14 years 11 months ago
2010
A continuous time Bayesian network (CTBN) uses a structured representation to describe a dynamic system with a finite number of states which evolves in continuous time. Exact infe...
123
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ICANNGA
2009
Springer
15 years 11 months ago
2009
Springer
We propose a generalized model with configurable discretizer actuators as a solution to the problem of the discretization of massive numerical datasets. Our solution is based on a ...
138
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SEMWEB
2005
Springer
15 years 10 months ago
2005
Springer
This paper presents our ongoing effort on developing a principled methodology for automatic ontology mapping based on BayesOWL, a probabilistic framework we developed for modeling ...
160
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JMLR
2010
14 years 11 months ago
2010
We propose a class of Bayesian networks appropriate for structured prediction problems where the Bayesian network's model structure is a function of the predicted output stru...