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CEC
2010
IEEE
15 years 8 months ago
Two novel Ant Colony Optimization approaches for Bayesian network structure learning
Learning Bayesian networks from data is an N-P hard problem with important practical applications. Several researchers have designed algorithms to overcome the computational comple...
Yanghui Wu, John A. W. McCall, David W. Corne
203
Voted
ECAI
2010
Springer
15 years 8 months ago
Using Bayesian Networks in an Industrial Setting: Making Printing Systems Adaptive
Abstract. Control engineering is a field of major industrial importance as it offers principles for engineering controllable physical devices, such as cell phones, television sets,...
Arjen Hommersom, Peter J. F. Lucas
ICTAI
2010
IEEE
15 years 4 months ago
A New Filtering Based on Decomposition of Constraint Sub-Networks
In this paper, we introduce a new partial consistency for constraint networks which is called Structural Consistency of level w and is denoted w-SC consistency. This consistency i...
Philippe Jégou, Cyril Terrioux
214
Voted
ECAI
2010
Springer
15 years 4 months ago
Adaptive Markov Logic Networks: Learning Statistical Relational Models with Dynamic Parameters
Abstract. Statistical relational models, such as Markov logic networks, seek to compactly describe properties of relational domains by representing general principles about objects...
Dominik Jain, Andreas Barthels, Michael Beetz
200
Voted
TSMC
2010
15 years 1 months ago
Contrasting Views of Complexity and Their Implications For Network-Centric Infrastructures
There exists a widely recognized need to better understand and manage complex "systems of systems," ranging from biology, ecology, and medicine to network-centric technol...
David L. Alderson, John C. Doyle