594 search results - page 32 / 119 » Feature Selection for Value Function Approximation Using Bay... |
CVPR
2007
IEEE
14 years 9 months ago
2007
IEEE
A major shortcoming of discriminative recognition and detection methods is their noise sensitivity, both during training and recognition. This may lead to very sensitive and britt...
ANOR
2007
13 years 7 months ago
2007
We present a novel portfolio selection technique, which replaces the traditional maximization of the utility function with a probabilistic approach inspired by statistical physics....
WSC
2004
13 years 9 months ago
2004
In this paper we describe a methodology that includes the complementary use of simulated annealing and response surface methodology (RSM). The methodology was developed for analys...
CORR
2010
Springer
13 years 6 months ago
2010
Springer
We propose a new approach to value function approximation which combines linear temporal difference reinforcement learning with subspace identification. In practical applications...
LION
2009
Springer
14 years 2 months ago
2009
Springer
Abstract. Probabilistic Neural Networks (PNNs) constitute a promising methodology for classification and prediction tasks. Their performance depends heavily on several factors, su...