Searching for "Mean Field Theory for Sigmoid Belief Networks." – sorted by Relevance.
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Mean Field Theory for Sigmoid Belief Networks
- 1996 Mean Field Theory for Sigmoid Belief Networks Lawrence K. Saul, Tommi Jaakkola, and Michael I
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Markovian Inference in Belief Networks
- field theory for sigmoid belief networks (Saul et al., 1996) uses a product-form variational
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A Mean Field Learning Algorithm For Unsupervised Neural Networks
- the mean field theory for sigmoid belief networks. The approximation is well suited to layered networks
- Cited by 8 (2 self) – Add To MetaCart
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Bibliography
- . [1996], `Mean-field theory for sigmoid belief networks', Journal of Artificial Intelligence Research 4
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