| dc.contributor.author | Cobb, Barry R. | |
| dc.contributor.author | Shenoy, Prakash P. | |
| dc.contributor.author | Rumi, Rafael | |
| dc.date.accessioned | 2005-11-02T22:37:11Z | |
| dc.date.available | 2005-11-02T22:37:11Z | |
| dc.date.issued | 2004-07 | |
| dc.identifier.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 | |
| dc.identifier.uri | http://hdl.handle.net/1808/761 | |
| dc.description.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. | |
| dc.format.extent | 385164 bytes | |
| dc.format.mimetype | application/pdf | |
| dc.language.iso | en | |
| dc.subject | Hybrid Bayesian networks | |
| dc.subject | Mixtures of truncated exponentials | |
| dc.subject | Shenoy-Shafer architecture | |
| dc.title | Approximating Probability Density Functions with Mixtures of Truncated Exponentials | |
| dc.type | Book chapter | |
| kusw.oastatus | na | |
| dc.identifier.orcid | https://orcid.org/0000-0002-8425-896X | |
| kusw.oapolicy | This item does not meet KU Open Access policy criteria. | |
| dc.rights.accessrights | openAccess | |
