827 search results - page 114 / 166 » Variational methods for Reinforcement Learning |
ECML
2001
Springer
14 years 7 days ago
2001
Springer
In many applications, modelling techniques are necessary which take into account the inherent variability of given data. In this paper, we present an approach to model class speciļ...
CORR
2012
Springer
12 years 3 months ago
2012
Springer
We address the problem of learning the parameters in graphical models when inference is intractable. A common strategy in this case is to replace the partition function with its B...
ICML
2010
IEEE
13 years 8 months ago
2010
IEEE
Recent research in machine learning has focused on breaking audio spectrograms into separate sources of sound using latent variable decompositions. These methods require that the ...
CORR
2012
Springer
12 years 3 months ago
2012
Springer
At the heart of many scientiļ¬c conferences is the problem of matching submitted papers to suitable reviewers. Arriving at a good assignment is a major and important challenge fo...
ACML
2009
Springer
14 years 2 months ago
2009
Springer
In this paper, we propose a Robust Discriminant Analysis based on maximum entropy (MaxEnt) criterion (MaxEnt-RDA), which is derived from a nonparametric estimate of Renyiās quadr...