3324 search results - page 105 / 665 » Learning Appropriate Contexts |
153
click to vote
JACIII
2006
15 years 6 months ago
2006
In this paper a method for image segmentation using an opposition-based reinforcement learning scheme is introduced. We use this agent-based approach to optimally find the appropri...
123
click to vote
ECAI
2004
Springer
16 years 3 days ago
2004
Springer
Abstract. Learning in complex contexts often requires pure induction to be supported by various kinds of meta-information. Providing such information is a critical, difficult and ...
165
click to vote
ICPR
2010
IEEE
15 years 10 months ago
2010
IEEE
Appropriate feature selection is a very crucial issue in any machine learning framework, specially in Maximum Entropy (ME). In this paper, the selection of appropriate features for...
226
click to vote
JMLR
2012
13 years 9 months ago
2012
Contextual bandit learning is a reinforcement learning problem where the learner repeatedly receives a set of features (context), takes an action and receives a reward based on th...
168
click to vote
CBMS
2006
IEEE
16 years 24 days ago
2006
IEEE
Inductive learning systems have been successfully applied in a number of medical domains. It is generally accepted that the highest accuracy results that an inductive learning sys...