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APIN
1998
139views more  APIN 1998»
15 years 6 months ago
Evolutionary Learning of Modular Neural Networks with Genetic Programming
Evolutionary design of neural networks has shown a great potential as a powerful optimization tool. However, most evolutionary neural networks have not taken advantage of the fact ...
Sung-Bae Cho, Katsunori Shimohara
IVC
2007
97views more  IVC 2007»
15 years 6 months ago
Stochastic exploration and active learning for image retrieval
This paper deals with content-based image retrieval. When the user is looking for large categories, statistical classification techniques are efficient as soon as the training se...
Matthieu Cord, Philippe Henri Gosselin, Sylvie Phi...
SOCA
2010
IEEE
15 years 4 months ago
Virtualised e-Learning with real-time guarantees on the IRMOS platform
In this paper we focus on how Quality of Service guarantees are provided to virtualised applications in the Cloud Computing infrastructure that is being developed in the context of...
Tommaso Cucinotta, Fabio Checconi, Zlatko Zlatev, ...
IS
2010
15 years 4 months ago
Multicriteria reinforcement learning based on a Russian doll method for network routing
The routing in communication networks is typically a multicriteria decision making (MCDM) problem. However, setting the parameters of most used MCDM methods to fit the preferences ...
Alain Pétrowski, Farouk Aissanou, Ilham Ben...
TCAD
2010
102views more  TCAD 2010»
15 years 1 months ago
Functional Test Generation Using Efficient Property Clustering and Learning Techniques
Abstract--Functional verification is one of the major bottlenecks in system-on-chip design due to the combined effects of increasing complexity and lack of automated techniques for...
Mingsong Chen, Prabhat Mishra