227 search results - page 38 / 46 » Generalized multiagent learning with performance bound |
STOC
1997
ACM
14 years 1 months ago
1997
ACM
Abstract. We study online learning algorithms that predict by combining the predictions of several subordinate prediction algorithms, sometimes called “experts.” These simple a...
DAGM
2011
Springer
12 years 8 months ago
2011
Springer
The supervised learning paradigm assumes in general that both training and test data are sampled from the same distribution. When this assumption is violated, we are in the setting...
FOCS
2010
IEEE
13 years 7 months ago
2010
IEEE
Boosting is a general method for improving the accuracy of learning algorithms. We use boosting to construct improved privacy-preserving synopses of an input database. These are da...
AGENTS
2000
Springer
14 years 1 months ago
2000
Springer
Multi-agent teamwork is critical in a large number of agent applications, including training, education, virtual enterprises and collective robotics. Tools that can help humans an...
ATAL
2006
Springer
14 years 22 days ago
2006
Springer
Knowledge transfer between expert and novice agents is a challenging problem given that the knowledge representation and learning algorithms used by the novice learner can be fund...