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» Dynamic Bayesian Multinets
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CISIS
2009
IEEE
14 years 4 months ago
Ontology-Based Generation of Bayesian Networks
Bayesian networks are indispensable for determining the probability of events which are influenced by various components. Bayesian probabilities encode degrees of belief about ce...
Stefan Fenz, A. Min Tjoa, Marcus Hudec
KES
2005
Springer
14 years 3 months ago
Bayesian Inference Driven Behavior Network Architecture for Avoiding Moving Obstacles
This paper presents a technique for an intelligent robot to adaptively behave in unforeseen and dynamic circumstances. Since the traditional methods utilized the relatively reliabl...
Hyeun-Jeong Min, Sung-Bae Cho
AIME
2007
Springer
14 years 1 months ago
Using Temporal Context-Specific Independence Information in the Exploratory Analysis of Disease Processes
Abstract. Disease processes in patients are temporal in nature and involve uncertainty. It is necessary to gain insight into these processes when aiming at improving the diagnosis,...
Stefan Visscher, Peter J. F. Lucas, Ildikó ...
JCC
2011
87views more  JCC 2011»
13 years 4 months ago
Determining equilibrium constants for dimerization reactions from molecular dynamics simulations
Abstract: With today’s available computer power, free energy calculations from equilibrium molecular dynamics simulations “via counting” become feasible for an increasing num...
Djurre H. De Jong, Lars V. Schäfer, Alex H. D...
IEEEARES
2006
IEEE
14 years 3 months ago
Modeling Dependable Systems using Hybrid Bayesian Networks
A hybrid Bayesian Network (BN) is one that incorporates both discrete and continuous nodes. In our extensive applications of BNs for system dependability assessment the models are...
Martin Neil, Manesh Tailor, Norman E. Fenton, Davi...