594 search results - page 29 / 119 » Feature Selection for Value Function Approximation Using Bay... |
IJCNN
2006
IEEE
14 years 1 months ago
2006
IEEE
— Support Vector Machine has been well received in machine learning community with its theoretical as well as practical value. However, since its training time complexity is cubi...
ECCV
2008
Springer
14 years 9 months ago
2008
Springer
An approach to the analysis of images of regular texture is proposed in which lattice hypotheses are used to define statistical models. These models are then compared in terms of t...
TIT
1998
13 years 7 months ago
1998
—Probability models are estimated by use of penalized log-likelihood criteria related to AIC and MDL. The accuracies of the density estimators are shown to be related to the trad...
MP
2002
13 years 7 months ago
2002
UOBYQA is a new algorithm for general unconstrained optimization calculations, that takes account of the curvature of the objective function, F say, by forming quadratic models by ...
CCIA
2005
Springer
14 years 1 months ago
2005
Springer
— This paper proposes a high-level Reinforcement Learning (RL) control system for solving the action selection problem of an autonomous robot. Although the dominant approach, whe...