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» Inference in Multilayer Networks via Large Deviation Bounds

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NIPS
1998

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Inference in Multilayer Networks via Large Deviation Bounds

13 years 6 months ago

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We study probabilistic inference in large, layered Bayesian networks represented as directed acyclic graphs. We show that the intractability of exact inference in such networks do...

Michael J. Kearns, Lawrence K. Saul

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UAI
1998

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Large Deviation Methods for Approximate Probabilistic Inference

13 years 6 months ago

Download www.cis.upenn.edu

We study two-layer belief networks of binary random variables in which the conditional probabilities Pr childjparents depend monotonically on weighted sums of the parents. In larg...

Michael J. Kearns, Lawrence K. Saul

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NIPS
2003

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On the Concentration of Expectation and Approximate Inference in Layered Networks

13 years 6 months ago

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We present an analysis of concentration-of-expectation phenomena in layered Bayesian networks that use generalized linear models as the local conditional probabilities. This frame...

XuanLong Nguyen, Michael I. Jordan

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