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Fast Learning by Bounding Likelihoods in Sigmoid Type Belief Networks 

Jaakkola, Tommi S.; Saul, Lawrence K.; Jordan, Michael I. (1996-02-09)
Sigmoid type belief networks, a class of probabilistic neural networks, provide a natural framework for compactly representing probabilistic information in a variety of unsupervised and supervised learning problems. ...

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AuthorJaakkola, Tommi S. (1)Jordan, Michael I. (1)Saul, Lawrence K. (1)SubjectAI (1)Artificial Intelligence (1)Belief networks (1)Density estimation (1)
EM algorithm (1)
Likelihood bounds (1)
MIT (1)
Probabilistic networks (1)... View MoreDate Issued
1996 (1)
Has File(s)Yes (1)

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