1423 search results - page 65 / 285 » Object-Oriented Bayesian Networks |
118
Voted
UAI
1992
15 years 1 months ago
1992
Current Bayesian net representations do not consider structure in the domain and include all variables in a homogeneous network. At any time, a human reasoner in a large domain ma...
115
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CIDM
2007
IEEE
15 years 7 months ago
2007
IEEE
— We present K2GA, an algorithm for learning Bayesian network structures from data. K2GA uses a genetic algorithm to perform stochastic search, while employing a modified versio...
98
Voted
ECAI
2004
Springer
15 years 4 months ago
2004
Springer
The task of eliciting all probabilities required for a Bayesian network can be supported by first acquiring qualitative constraints on the numerical quantities to be obtained. Buil...
182
Voted
UAI
2008
15 years 2 months ago
2008
Variational Bayesian inference and (collapsed) Gibbs sampling are the two important classes of inference algorithms for Bayesian networks. Both have their advantages and disadvant...
121
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ISNN
2004
Springer
15 years 6 months ago
2004
Springer
Based on rank-1 update, Sparse Bayesian Learning Algorithm (SBLA) is proposed. SBLA has the advantages of low complexity and high sparseness, being very suitable for large scale pr...