1489 search results - page 61 / 298 » Monotonicity in Bayesian Networks |
153
Voted
UAI
2000
15 years 4 months ago
2000
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...
140
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UAI
1992
15 years 4 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...
144
Voted
CIDM
2007
IEEE
15 years 9 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...
129
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ECAI
2004
Springer
15 years 7 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...
215
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UAI
2008
15 years 4 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...