486 search results - page 54 / 98 » A Bayesian Framework for Reinforcement Learning |
NN
2002
Springer
13 years 8 months ago
2002
Springer
When learning a mixture model, we suffer from the local optima and model structure determination problems. In this paper, we present a method for simultaneously solving these prob...
ICML
2001
IEEE
14 years 9 months ago
2001
IEEE
We call data weakly labeled if it has no exact label but rather a numerical indication of correctness of the label "guessed" by the learning algorithm - a situation comm...
CSDA
2006
13 years 8 months ago
2006
A signal extraction problem in simulated games is studied. A modelling technique is proposed for deriving beliefs for players in simulated games. Since standard Bayesian games pro...
ICASSP
2011
IEEE
13 years 15 days ago
2011
IEEE
The blind beamforming method for constant modulus (CM) signals based on relevance vector machine (RVM) is proposed. The proposed beamforming method is obtained by incorporating th...
ICML
2008
IEEE
14 years 9 months ago
2008
IEEE
Compressive sensing (CS) is an emerging field that, under appropriate conditions, can significantly reduce the number of measurements required for a given signal. In many applicat...