374 search results - page 54 / 75 » Multiagent Reinforcement Learning: Theoretical Framework and... |
ICML
2005
IEEE
14 years 8 months ago
2005
IEEE
Properties of ensemble classification can be studied using the framework of Monte Carlo stochastic algorithms. Within this framework it is also possible to define a new ensemble c...
IJRR
2008
13 years 7 months ago
2008
One of the most general frameworks for phrasing control problems for complex, redundant robots is operational space control. However, while this framework is of essential importan...
ICML
2009
IEEE
14 years 8 months ago
2009
IEEE
We consider a supervised machine learning scenario where labels are provided by a heterogeneous set of teachers, some of which are mediocre, incompetent, or perhaps even malicious...
ICML
1998
IEEE
14 years 8 months ago
1998
IEEE
We study the problem of learning to accurately rank a set of objects by combining a given collection of ranking or preference functions. This problem of combining preferences aris...
ATAL
2006
Springer
13 years 11 months ago
2006
Springer
Numerous domains ranging from distributed data acquisition to knowledge reuse need to solve the cluster ensemble problem of combining multiple clusterings into a single unified cl...