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» Parametric Structure of Probabilities in Bayesian Networks
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UMUAI
1998
157views more  UMUAI 1998»
13 years 7 months ago
Bayesian Models for Keyhole Plan Recognition in an Adventure Game
We present an approach to keyhole plan recognition which uses a dynamic belief (Bayesian) network to represent features of the domain that are needed to identify users’ plans and...
David W. Albrecht, Ingrid Zukerman, Ann E. Nichols...
BMCBI
2008
162views more  BMCBI 2008»
13 years 7 months ago
Improved identification of conserved cassette exons using Bayesian networks
Background: Alternative splicing is a major contributor to the diversity of eukaryotic transcriptomes and proteomes. Currently, large scale detection of alternative splicing using...
Rileen Sinha, Michael Hiller, Rainer Pudimat, Ulri...
CIMCA
2005
IEEE
14 years 1 months ago
OntoBayes: An Ontology-Driven Uncertainty Model
— This paper describes an ontology-driven model, which integrates Bayesian Networks (BN) into the Ontology Web Language (OWL) to preserve the advantages of both. This model makes...
Yi Yang, Jacques Calmet
ALDT
2009
Springer
140views Algorithms» more  ALDT 2009»
14 years 2 months ago
Directional Decomposition of Multiattribute Utility Functions
Abstract. Several schemes have been proposed for compactly representing multiattribute utility functions, yet none seems to achieve the level of success achieved by Bayesian and Ma...
Ronen I. Brafman, Yagil Engel
AI
2010
Springer
13 years 7 months ago
Understanding the scalability of Bayesian network inference using clique tree growth curves
Bayesian networks (BNs) are used to represent and ef ciently compute with multi-variate probability distributions in a wide range of disciplines. One of the main approaches to per...
Ole J. Mengshoel