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FLAIRS
2004
13 years 10 months ago
An Empirical Study of Probability Elicitation Under Noisy-OR Assumption
Bayesian network is a popular modeling tool for uncertain domains that provides a compact representation of a joint probability distribution among a set of variables. Even though ...
Adam Zagorecki, Marek J. Druzdzel
JAIR
2008
138views more  JAIR 2008»
13 years 9 months ago
Networks of Influence Diagrams: A Formalism for Representing Agents' Beliefs and Decision-Making Processes
This paper presents Networks of Influence Diagrams (NID), a compact, natural and highly expressive language for reasoning about agents' beliefs and decision-making processes....
Ya'akov Gal, Avi Pfeffer
ICDM
2005
IEEE
116views Data Mining» more  ICDM 2005»
14 years 2 months ago
Learning Functional Dependency Networks Based on Genetic Programming
Bayesian Network (BN) is a powerful network model, which represents a set of variables in the domain and provides the probabilistic relationships among them. But BN can handle dis...
Wing-Ho Shum, Kwong-Sak Leung, Man Leung Wong
ICANN
2005
Springer
14 years 2 months ago
Smooth Bayesian Kernel Machines
Abstract. In this paper, we consider the possibility of obtaining a kernel machine that is sparse in feature space and smooth in output space. Smooth in output space implies that t...
Rutger W. ter Borg, Léon J. M. Rothkrantz
AICT
2007
IEEE
122views Communications» more  AICT 2007»
13 years 10 months ago
Towards Security Analyses of an Identity Federation Protocol for Web Services in Convergent Networks
— We describe a formal approach to the analysis of security aspects of an identity federation protocol for web services in convergent networks. This network protocol was proposed...
Maurice H. ter Beek, Corrado Moiso, Marinella Petr...