813 search results - page 4 / 163 » Ensemble Algorithms in Reinforcement Learning |
SDM
2009
SIAM
14 years 4 months ago
2009
SIAM
Cluster ensembles provide a framework for combining multiple base clusterings of a dataset to generate a stable and robust consensus clustering. There are important variants of th...
ICML
1998
IEEE
13 years 11 months ago
1998
IEEE
We present and solve a real-world problem of learning to drive a bicycle. We solve the problem by online reinforcement learning using the Sarsa( )-algorithm. Then we solve the ...
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...
ECML
2003
Springer
14 years 17 days ago
2003
Springer
In multi-instance learning, the training set comprises labeled bags that are composed of unlabeled instances, and the task is to predict the labels of unseen bags. Through analyzin...
CEC
2007
IEEE
14 years 1 months ago
2007
IEEE
— This paper proposes to incorporate bootstrap of data, random feature subspace and evolutionary algorithm with negative correlation learning to automatically design accurate and...