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DKE
2007
95views more  DKE 2007»
15 years 6 months ago
Strategies for improving the modeling and interpretability of Bayesian networks
One of the main factors for the knowledge discovery success is related to the comprehensibility of the patterns discovered by applying data mining techniques. Amongst which we can...
Ádamo L. de Santana, Carlos Renato Lisboa F...
167
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EOR
2007
123views more  EOR 2007»
15 years 6 months ago
A stochastic model for risk management in global supply chain networks
With the increasing emphasis on supply chain vulnerabilities, effective mathematical tools for analyzing and understanding appropriate supply chain risk management are now attrac...
Mark Goh, Joseph Y. S. Lim, Fanwen Meng
JUCS
2007
86views more  JUCS 2007»
15 years 6 months ago
Improving LO Quality through Instructional Design Based on an Ontological Model and Metadata
: The activities developed in this paper were aimed at providing an awareness of the elements that should be considered in quality learning objects instructional design for elearni...
Erla Morales Morgado, Francisco José Garc&i...
IJPRAI
2000
83views more  IJPRAI 2000»
15 years 6 months ago
Practical Issues in Modeling Large Diagnostic Systems with Multiply Sectioned Bayesian Networks
As Bayesian networks become widely accepted as a normative formalism for diagnosis based on probabilistic knowledge, they are applied to increasingly larger problem domains. These...
Yanping Xiang, Kristian G. Olesen, Finn Verner Jen...
JOT
2010
130views more  JOT 2010»
15 years 5 months ago
Test Case Generation Based on State and Activity Models
Abstract We propose a novel testing technique for object-oriented programs. Based on the state and activity models of a system, we construct an intermediate representation, which w...
Santosh Kumar Swain, Durga Prasad Mohapatra, Rajib...