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» Adding Local Constraints to Bayesian Networks
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UAI
2000
13 years 9 months ago
Exploiting Qualitative Knowledge in the Learning of Conditional Probabilities of Bayesian Networks
Algorithms for learning the conditional probabilities of Bayesian networks with hidden variables typically operate within a high-dimensional search space and yield only locally op...
Frank Wittig, Anthony Jameson
CORR
2012
Springer
185views Education» more  CORR 2012»
12 years 4 months ago
Bayesian network learning with cutting planes
The problem of learning the structure of Bayesian networks from complete discrete data with a limit on parent set size is considered. Learning is cast explicitly as an optimisatio...
James Cussens
AAAI
1998
13 years 10 months ago
Bayesian Network Models for Generation of Crisis Management Training Scenarios
We present a noisy-OR Bayesian network model for simulation-based training, and an efficient search-based algorithm for automatic synthesis of plausible training scenarios from co...
Eugene Grois, William H. Hsu, Mikhail Voloshin, Da...
TIT
2011
193views more  TIT 2011»
13 years 3 months ago
Optimal Resource Allocation for MIMO Ad Hoc Cognitive Radio Networks
—Maximization of the weighted sum-rate of secondary users (SUs) possibly equipped with multiantenna transmitters and receivers is considered in the context of cognitive radio (CR...
Seung-Jun Kim, Georgios B. Giannakis
FORMATS
2006
Springer
14 years 5 days ago
Adding Invariants to Event Zone Automata
Recently, a new approach to the symbolic model checking of timed automata based on a partial order semantics was introduced, which relies on event zones that use vectors of event o...
Peter Niebert, Hongyang Qu