1398 search results - page 121 / 280 » Bayesian actor-critic algorithms |
79
Voted
UAI
2004
15 years 2 months ago
2004
For many real-life Bayesian networks, common knowledge dictates that the output established for the main variable of interest increases with higher values for the observable varia...
241
Voted
ECAI
2010
Springer
15 years 1 months ago
2010
Springer
In the last decades enormous advances have been made possible for modelling complex (physical) systems by mathematical equations and computer algorithms. To deal with very long run...
102
Voted
ICML
2010
IEEE
15 years 1 months ago
2010
IEEE
We consider the problem of multi-task reinforcement learning where the learner is provided with a set of tasks, for which only a small number of samples can be generated for any g...
118
Voted
JMLR
2008
15 years 21 days ago
2008
The linear model with sparsity-favouring prior on the coefficients has important applications in many different domains. In machine learning, most methods to date search for maxim...
126
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CVPR
2011
IEEE
14 years 8 months ago
2011
IEEE
Conventional non-blind image deblurring algorithms involve natural image priors and maximum a-posteriori (MAP) estimation. As a consequence of MAP estimation, separate pre-process...