1325 search results - page 210 / 265 » Algorithm Selection using Reinforcement Learning |
GECCO
2007
Springer
14 years 5 months ago
2007
Springer
The use of machine learning techniques to automatically analyse data for information is becoming increasingly widespread. In this paper we examine the use of Genetic Programming a...
ACL
2006
14 years 12 days ago
2006
We present a learning framework for structured support vector models in which boosting and bagging methods are used to construct ensemble models. We also propose a selection metho...
CEC
2010
IEEE
14 years 3 days ago
2010
IEEE
An important challenge within hyper-heuristic research is to design search methodologies that work well, not only across different instances of the same problem, but also across di...
ECCV
2008
Springer
15 years 26 days ago
2008
Springer
Abstract. Sparse signal models learned from data are widely used in audio, image, and video restoration. They have recently been generalized to discriminative image understanding t...
ICASSP
2010
IEEE
13 years 11 months ago
2010
IEEE
Supervised learning uses a training set of labeled examples to compute a classifier which is a mapping from feature vectors to class labels. The success of a learning algorithm i...