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WSC
2004
15 years 2 months ago
An Automatic Distributed Simulation Environment
Developing a sequential simulation program is not an easy task. Developing a distributed simulation program is harder than a sequential one because it is necessary to deal with ma...
Sarita Mazzini Bruschi, Regina Helena Carlucci San...
104
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ITS
2000
Springer
112views Multimedia» more  ITS 2000»
15 years 5 months ago
Model of an Adaptive Support Interface for Distance Learning
We developed a distributed support model in an interface for distant learning. The support is integrated into the ExploraGraph navigator which makes it possible to navigate through...
Aude Dufresne
NIPS
2003
15 years 2 months ago
Gaussian Processes in Reinforcement Learning
We exploit some useful properties of Gaussian process (GP) regression models for reinforcement learning in continuous state spaces and discrete time. We demonstrate how the GP mod...
Carl Edward Rasmussen, Malte Kuss
CONNECTION
2004
98views more  CONNECTION 2004»
15 years 1 months ago
Self-refreshing memory in artificial neural networks: learning temporal sequences without catastrophic forgetting
While humans forget gradually, highly distributed connectionist networks forget catastrophically: newly learned information often completely erases previously learned information. ...
Bernard Ans, Stephane Rousset, Robert M. French, S...
ICONIP
2009
14 years 11 months ago
Learning Gaussian Process Models from Uncertain Data
It is generally assumed in the traditional formulation of supervised learning that only the outputs data are uncertain. However, this assumption might be too strong for some learni...
Patrick Dallaire, Camille Besse, Brahim Chaib-draa