228 search results - page 45 / 46 » Neural Network Regression for LHF Process Optimization |
IWANN
1999
Springer
13 years 11 months ago
1999
Springer
To avoid the curse of dimensionality, function approximators are used in reinforcement learning to learn value functions for individual states. In order to make better use of comp...
PR
2007
13 years 6 months ago
2007
In this paper, we present a learning-based image processing technique. We have developed a novel method to map high dynamic range scenes to low dynamic range images for display in...
CORR
2008
Springer
13 years 7 months ago
2008
Springer
Many models from a variety of areas involve the computation of an equilibrium or fixed point of some kind. Examples include Nash equilibria in games; market equilibria; computing o...
ROBOCUP
2001
Springer
13 years 11 months ago
2001
Springer
With the more sophisticated abilities of teams within the simulation league high level online functions become more and more attractive. Last year we proposed an approach to recogn...
GECCO
2008
Springer
13 years 8 months ago
2008
Springer
Selective sampling is a form of active learning which can reduce the cost of training by only drawing informative data points into the training set. This selected training set is ...