4345 search results - page 417 / 869 » Relational Reinforcement Learning |
201
click to vote
FLAIRS
2007
15 years 10 months ago
2007
This paper addresses the issue of learning from communication among agents that work in the same domain, are capable of learning from examples, and communicate using an argumentat...
208
click to vote
HIS
2007
15 years 9 months ago
2007
Meta-Learning has been used to relate the performance of algorithms and the features of the problems being tackled. The knowledge in Meta-Learning is acquired from a set of meta-e...
183
click to vote
NIPS
2007
15 years 9 months ago
2007
We propose an active learning algorithm that learns a continuous valuation model from discrete preferences. The algorithm automatically decides what items are best presented to an...
200
click to vote
NIPS
2007
15 years 9 months ago
2007
Semi-supervised inductive learning concerns how to learn a decision rule from a data set containing both labeled and unlabeled data. Several boosting algorithms have been extended...
205
click to vote
NIPS
2004
15 years 9 months ago
2004
Many works have shown that strong connections relate learning from examples to regularization techniques for ill-posed inverse problems. Nevertheless by now there was no formal ev...