222 search results - page 3 / 45 » Learning Optimal Parameters in Decision-Theoretic Rough Sets |
IROS
2007
IEEE
13 years 11 months ago
2007
IEEE
— This paper presents an algorithm for adapting periodic behavior to gradual shifts in task parameters. Since learning optimal control in high dimensional domains is subject to t...
IEICET
2007
13 years 5 months ago
2007
In order to obtain better learning results in supervised learning, it is important to choose model parameters appropriately. Model selection is usually carried out by preparing a ...
ISCIS
2003
Springer
13 years 10 months ago
2003
Springer
In this paper, we study an adaptive random search method based on continuous action-set learning automaton for solving stochastic optimization problems in which only the noisecorr...
ICPR
2010
IEEE
13 years 3 months ago
2010
IEEE
Abstract--Multiple instance learning (MIL) is a recently researched technique used for learning a target concept in the presence of noise. Previously, a random set framework for mu...
ICML
2007
IEEE
14 years 6 months ago
2007
IEEE
Regularized Kernel Discriminant Analysis (RKDA) performs linear discriminant analysis in the feature space via the kernel trick. The performance of RKDA depends on the selection o...