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» The rebirth of neural networks
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NN
2006
Springer
218views Neural Networks» more  NN 2006»
15 years 6 months ago
Modeling attention to salient proto-objects
Selective visual attention is believed to be responsible for serializing visual information for recognizing one object at a time in a complex scene. But how can we attend to objec...
Dirk Walther, Christof Koch
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...
CAS
2005
109views more  CAS 2005»
15 years 6 months ago
Bringing Up Robot: Fundamental Mechanisms For Creating A Self-Motivated, Self-Organizing Architecture
In this paper we propose an intrinsic developmental algorithm that is designed to allow a mobile robot to incrementally progress through levels of increasingly sophisticated behav...
Douglas S. Blank, Deepak Kumar, Lisa Meeden, James...
TSMC
2008
140views more  TSMC 2008»
15 years 6 months ago
Adaptive Feedback Control by Constrained Approximate Dynamic Programming
A constrained approximate dynamic programming (ADP) approach is presented for designing adaptive neural network (NN) controllers with closed-loop stability and performance guarante...
S. Ferrari, J. E. Steck, R. Chandramohan
NN
2000
Springer
161views Neural Networks» more  NN 2000»
15 years 6 months ago
How good are support vector machines?
Support vector (SV) machines are useful tools to classify populations characterized by abrupt decreases in density functions. At least for one class of Gaussian data model the SV ...
Sarunas Raudys