473 search results - page 94 / 95 » Optimal policy switching algorithms for reinforcement learni... |
SIGIR
2006
ACM
13 years 11 months ago
2006
ACM
Large scale learning is often realistic only in a semi-supervised setting where a small set of labeled examples is available together with a large collection of unlabeled data. In...
COMCOM
2006
13 years 5 months ago
2006
Wireless sensor networks are poised to revolutionize our abilities in sensing and controlling our environment. Power conservation is a primary research concern for these networks....
CVPR
2004
IEEE
14 years 7 months ago
2004
IEEE
Model-based clustering of motion trajectories can be posed as the problem of learning an underlying mixture density function whose components correspond to motion classes with dif...
UAI
2004
13 years 7 months ago
2004
Classical learning assumes the learner is given a labeled data sample, from which it learns a model. The field of Active Learning deals with the situation where the learner begins...
WECWIS
2005
IEEE
13 years 11 months ago
2005
IEEE
This paper studies adaptive bilateral negotiation between software agents in e-commerce environments. Specifically, we assume that the agents are self-interested, the environment...