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Mean Field Theory for Sigmoid Belief Networks
- Journal of Artificial Intelligence Research
, 1996
"... We develop a mean field theory for sigmoid belief networks based on ideas from statistical mechanics. ..."
Abstract
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Cited by 102 (12 self)
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We develop a mean field theory for sigmoid belief networks based on ideas from statistical mechanics.
Computing Upper and Lower Bounds on Likelihoods in Intractable Networks
, 1996
"... We present techniques for computing upper and lower bounds on the likelihoods of partial instantiations of variables in sigmoid and noisy-OR networks. The bounds determine confidence intervals for the desired likelihoods and become useful when the size of the network (or clique size) precludes exa ..."
Abstract
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Cited by 39 (10 self)
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We present techniques for computing upper and lower bounds on the likelihoods of partial instantiations of variables in sigmoid and noisy-OR networks. The bounds determine confidence intervals for the desired likelihoods and become useful when the size of the network (or clique size) precludes exact computations.
