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Please use this identifier to cite or link to this item: http://hdl.handle.net/1808/761
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Title: Approximating Probability Density Functions with Mixtures of Truncated Exponentials
Authors: Cobb, Barry R.
Shenoy, Prakash P.
Rumi, Rafael
Keywords: Hybrid Bayesian networks
Mixtures of truncated exponentials
Shenoy-Shafer architecture
Issue Date: Jul-2004
Extent: 385164 bytes
Type: Book chapter
Citation: Cobb, B. R., P. P. Shenoy, and R. Rumi, "Approximating Probability Density Functions with Mixtures of Truncated Exponentials," Proceedings of the Tenth Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU-04), pp. 429--436, 2004, Perugia, Italy
Abstract: Mixtures of truncated exponentials (MTE) potentials are an alternative to discretization for approximating probability density functions (PDF’s). This paper presents MTE potentials that approximate standard PDF’s and applications of these potentials for solving inference problems in hybrid Bayesian networks.
URI: http://hdl.handle.net/1808/761
Appears in Collections:School of Business Articles

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