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109
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ICML
2009
IEEE
16 years 1 months ago
Structure learning of Bayesian networks using constraints
This paper addresses exact learning of Bayesian network structure from data and expert's knowledge based on score functions that are decomposable. First, it describes useful ...
Cassio Polpo de Campos, Zhi Zeng, Qiang Ji
93
Voted
PRL
2002
101views more  PRL 2002»
15 years 10 days ago
Multifocus image fusion using artificial neural networks
Optical lenses, particularly those with long focal lengths, suffer from the problem of limited depth of field. Consequently, it is often difficult to obtain good focus for all obj...
Shutao Li, James T. Kwok, Yaonan Wang
92
Voted
WSC
2001
15 years 2 months ago
Using simulation and neural networks to develop a scheduling advisor
The research using artificial intelligence and computer simulation introduces a new approach for solving the job shop-scheduling problem. The new approach is based on the developm...
Thanos Alifantis, Stewart Robinson
EUROMICRO
2003
IEEE
15 years 6 months ago
Modelling the performance of CORBA using Layered Queueing Networks
One of the typical features of distributed systems is the heterogeneity of its components (e.g. geographical spreading and different platform architectures), leading to interopera...
Tom Verdickt, Bart Dhoedt, Frank Gielen, Piet Deme...
107
Voted
HSNMC
2004
Springer
130views Multimedia» more  HSNMC 2004»
15 years 6 months ago
Benefits of Using Ontologies in the Management of High Speed Networks
Network management is an area where many different technologies coexist. Several languages are used to define the information to be managed, which are specific of each management m...
Jorge E. López de Vergara, Víctor A....