Tractable Inference for Probabilistic Data Models

Csato, L; Opper, M; Winther, O

doi:10.1002/cplx.10086

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Tractable Inference for Probabilistic Data Models

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https://onlinelibrary.wiley.com/doi/epdf/10.1002/cplx.10086
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Csato, L., Opper, M., & Winther, O. (2003). Tractable Inference for Probabilistic Data Models. Complexity, 8(4), 64-68. doi:10.1002/cplx.10086.

Cite as: https://hdl.handle.net/11858/00-001M-0000-0013-DCAD-2

Abstract

We present an approximation technique for probabilistic data models with a large number of hidden variables, based on ideas from statistical physics. We give examples for two nontrivial applications. © 2003 Wiley Periodicals, Inc.