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» Adding Local Constraints to Bayesian Networks
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130
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UAI
2000
15 years 2 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
121
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CORR
2012
Springer
185views Education» more  CORR 2012»
13 years 8 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
89
Voted
AAAI
1998
15 years 2 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...
117
Voted
TIT
2011
193views more  TIT 2011»
14 years 8 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
134
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FORMATS
2006
Springer
15 years 4 months 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