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TNN
2008
93views more  TNN 2008»
15 years 6 months ago
Towards the Optimal Design of Numerical Experiments
This paper addresses the problem of the optimal design of numerical experiments for the construction of nonlinear surrogate models. We describe a new method, called learner disagre...
S. Gazut, J.-M. Martinez, Gérard Dreyfus, Y...
LION
2009
Springer
129views Optimization» more  LION 2009»
16 years 1 months ago
Expeditive Extensions of Evolutionary Bayesian Probabilistic Neural Networks
Abstract. Probabilistic Neural Networks (PNNs) constitute a promising methodology for classification and prediction tasks. Their performance depends heavily on several factors, su...
Vasileios L. Georgiou, Sonia Malefaki, Konstantino...
ECAL
2007
Springer
16 years 23 days ago
Grounding Action-Selection in Event-Based Anticipation
Anticipation is one of the key aspects involved in flexible and adaptive behavior. The ability for an autonomous agent to extract a relevant model of its coupling with the environ...
Philippe Capdepuy, Daniel Polani, Chrystopher L. N...
ICIP
2005
IEEE
16 years 8 months ago
Video coding with MC-EZBC and redundant-wavelet multihypothesis
Motion compensation with redundant-wavelet multihypothesis, in which multiple predictions that are diverse in transform phase contribute to a single motion estimate, is deployed i...
Joseph B. Boettcher, James E. Fowler
DAC
2003
ACM
16 years 7 months ago
Death, taxes and failing chips
In the way they cope with variability, present-day methodologies are onerous, pessimistic and risky, all at the same time! Dealing with variability is an increasingly important as...
Chandu Visweswariah