Approximating Probability Density Functions with Mixtures of Truncated Exponentials
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Issue Date
2004-07Author
Cobb, Barry R.
Shenoy, Prakash P.
Rumi, Rafael
Format
385164 bytes
Type
Book chapter
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Show full item recordAbstract
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.
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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
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