Home
KU Information Services
About KU Scholarworks
 
Browse
Communities
& Collections
Issue Date
Author
Title
Subject
 
Sign on to:
Receive email
updates
My KU Scholarworks
authorized users
Edit Profile
 

Advanced Search

KU ScholarWorks >
School of Business >
School of Business Articles >

Please use this identifier to cite or link to this item: http://hdl.handle.net/1808/761
View usage statistics

Full metadata record

DC FieldValueLanguage
dc.contributor.authorCobb, Barry R.-
dc.contributor.authorShenoy, Prakash P.-
dc.contributor.authorRumi, Rafael-
dc.date.accessioned2005-11-02T22:37:11Z-
dc.date.available2005-11-02T22:37:11Z-
dc.date.issued2004-07-
dc.identifier.citationCobb, 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, Italyen
dc.identifier.urihttp://hdl.handle.net/1808/761-
dc.description.abstractMixtures 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.en
dc.format.extent385164 bytes-
dc.format.mimetypeapplication/pdf-
dc.language.isoen-
dc.subjectHybrid Bayesian networksen
dc.subjectMixtures of truncated exponentialsen
dc.subjectShenoy-Shafer architectureen
dc.titleApproximating Probability Density Functions with Mixtures of Truncated Exponentialsen
dc.typeBook chapteren
Appears in Collections:School of Business Articles

Files in this Item:

File Description SizeFormat
IPMU04.pdf376.14 kBAdobe PDFView/Open

Items in KU ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.