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» Modeling Dependable Systems using Hybrid Bayesian Networks
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IJAR
2010
97views more  IJAR 2010»
13 years 7 months ago
Parameter estimation and model selection for mixtures of truncated exponentials
Bayesian networks with mixtures of truncated exponentials (MTEs) support efficient inference algorithms and provide a flexible way of modeling hybrid domains (domains containing ...
Helge Langseth, Thomas D. Nielsen, Rafael Rum&iacu...
AINA
2006
IEEE
14 years 2 months ago
A Hybrid Rule-Based/Case-Based Reasoning Approach for Service Fault Diagnosis
— In today’s service market the provisioning of high quality services has become a critical issue for providers as the business success of their customers is often based on the...
Andreas Hanemann
JSAC
2010
88views more  JSAC 2010»
13 years 7 months ago
Modeling broadcasting using omnidirectional and directional antenna in delay tolerant networks as an epidemic dynamics
—We study broadcasting of information in a system of moving agents equipped with omnidirectional as well as directional antenna. The agent communication protocol is inspired by t...
Fernando Peruani, A. Maiti, Sanjib Sadhu, Hugues C...
CONTEXT
2001
Springer
14 years 1 months ago
A Connectionist-Symbolic Approach to Modeling Agent Behavior: Neural Networks Grouped by Contexts
A recent report by the National Research Council (NRC) declares neural networks “hold the most promise for providing powerful learning models”. While some researchers have expe...
Amy E. Henninger, Avelino J. Gonzalez, Michael Geo...
BMCBI
2007
157views more  BMCBI 2007»
13 years 9 months ago
A hybrid multiscale Monte Carlo algorithm (HyMSMC) to cope with disparity in time scales and species populations in intracellula
Background: The fundamental role that intrinsic stochasticity plays in cellular functions has been shown via numerous computational and experimental studies. In the face of such e...
Asawari Samant, Babatunde A. Ogunnaike, Dionisios ...