1325 search results - page 129 / 265 » Algorithm Selection using Reinforcement Learning |
131
Voted
NIPS
1994
15 years 4 months ago
1994
For many types of machine learning algorithms, one can compute the statistically optimal" way to select training data. In this paper, we review how optimal data selection tec...
166
click to vote
HAIS
2010
Springer
15 years 19 days ago
2010
Springer
In this article, we describe a feature selection algorithm which can automatically find relevant features for multiple instance learning. Multiple instance learning is considered a...
136
Voted
GECCO
2007
Springer
15 years 8 months ago
2007
Springer
An agent population can be evolved in a complex environment to perform various tasks and optimize its job performance using Learning Classifier System (LCS) technology. Due to the...
107
click to vote
GECCO
2006
Springer
15 years 6 months ago
2006
Springer
Recently, studies with the XCS classifier system on Boolean functions have shown that in certain types of functions simple crossover operators can lead to disruption and, conseque...
146
click to vote
ICML
2005
IEEE
16 years 3 months ago
2005
IEEE
We introduce a Bayesian model, BayesANIL, that is capable of estimating uncertainties associated with the labeling process. Given a labeled or partially labeled training corpus of...