4208 search results - page 461 / 842 » Better Selection of the Best |
183
click to vote
IWANN
1999
Springer
15 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...
194
click to vote
BMCBI
2010
15 years 7 months ago
2010
Background: Microarray data discretization is a basic preprocess for many algorithms of gene regulatory network inference. Some common discretization methods in informatics are us...
287
Voted
Publication
The main goals of a switch scheme are high utilization, low queuing delay and fairness. To achieve high utilization the switch scheme can maintain non-zero (small) queues in steady...
173
click to vote
CVPR
2001
IEEE
16 years 8 months ago
2001
IEEE
Bayesian approaches to supervised learning use priors on the classifier parameters. However, few priors aim at achieving "sparse" classifiers, where irrelevant/redundant...
197
click to vote
CVPR
2006
IEEE
16 years 8 months ago
2006
IEEE
Flat appearance-based systems, which combine clever image representations with standard classifiers, might be the most effective way to recognize objects using current technologie...