168 search results - page 2 / 34 » Optimism in Reinforcement Learning Based on Kullback-Leibler... |
FOCI
2007
IEEE
13 years 8 months ago
2007
IEEE
AiNet is an immune-inspired algorithm for data compression, i.e. the reduction of redundancy in data sets. In this paper we investigate the compression quality of aiNet. Therefore,...
ICML
2009
IEEE
14 years 5 months ago
2009
IEEE
This paper addresses the problem of active model selection for nonlinear dynamical systems. We propose a novel learning approach that selects the most informative subset of time-d...
CDC
2009
IEEE
13 years 9 months ago
2009
IEEE
— This paper addresses model reduction for a Markov chain on a large state space. A simulation-based framework is introduced to perform state aggregation of the Markov chain base...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
We describe an alternative to standard nonnegative matrix factorisation (NMF) for nonnegative dictionary learning. NMF with the Kullback-Leibler divergence can be seen as maximisa...
KDD
2005
ACM
14 years 5 months ago
2005
ACM
Knowledge Discovery in time series usually requires symbolic time series. Many discretization methods that convert numeric time series to symbolic time series ignore the temporal ...