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» Modeling Dependable Systems using Hybrid Bayesian Networks
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ICML
2009
IEEE
14 years 8 months ago
GAODE and HAODE: two proposals based on AODE to deal with continuous variables
AODE (Aggregating One-Dependence Estimators) is considered one of the most interesting representatives of the Bayesian classifiers, taking into account not only the low error rate...
Ana M. Martínez, José A. Gáme...
ETFA
2008
IEEE
13 years 9 months ago
Efficient failure-free foundry production
Microshrinkages are known as probably the most difficult defects to avoid in high-precission foundry. Depending on the magnitude of this defect, the piece in which it appears must...
Yoseba K. Penya, Pablo Garcia Bringas, Argoitz Zab...
ENTCS
2008
109views more  ENTCS 2008»
13 years 7 months ago
Spatial Networks of Hybrid I/O Automata for Modeling Excitable Tissue
We propose a new biological framework, spatial networks of hybrid input/output automata (SNHIOA), for the efficient modeling and simulation of excitable-cell tissue. Within this f...
Ezio Bartocci, Flavio Corradini, Maria Rita Di Ber...
ICEIS
2000
IEEE
13 years 12 months ago
A User-Friendly Development Tool for Medical Diagnosis Based on Bayesian Networks
: This paper presents a web supported development tool specific for medical diagnosis, based on Bayesian networks. The proposed system provides a user-friendly interface, giving th...
Isabel Milho, Ana L. N. Fred
ICTAI
2006
IEEE
14 years 1 months ago
A Junction Tree Propagation Algorithm for Bayesian Networks with Second-Order Uncertainties
Bayesian networks (BNs) have been widely used as a model for knowledge representation and probabilistic inferences. However, the single probability representation of conditional d...
Maurizio Borsotto, Weihong Zhang, Emir Kapanci, Av...