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PKDD
2010
Springer
164views Data Mining» more  PKDD 2010»
13 years 7 months ago
Efficient Planning in Large POMDPs through Policy Graph Based Factorized Approximations
Partially observable Markov decision processes (POMDPs) are widely used for planning under uncertainty. In many applications, the huge size of the POMDP state space makes straightf...
Joni Pajarinen, Jaakko Peltonen, Ari Hottinen, Mik...
JSS
2010
142views more  JSS 2010»
13 years 4 months ago
Analysis of service availability for time-triggered rejuvenation policies
In this paper we investigate the effect of three time-triggered system rejuvenation policies on service availability using a queuing model. The model is formulated as an extended ...
Felix Salfner, Katinka Wolter
PAM
2011
Springer
13 years 16 days ago
Evolution of Cache Replacement Policies to Track Heavy-Hitter Flows
Several important network applications cannot easily scale to higher data rates without requiring focusing just on the large traffic flows. Recent works have discussed algorithmic...
Martin Zádník, Marco Canini
ECML
2005
Springer
14 years 3 months ago
Model-Based Online Learning of POMDPs
Abstract. Learning to act in an unknown partially observable domain is a difficult variant of the reinforcement learning paradigm. Research in the area has focused on model-free m...
Guy Shani, Ronen I. Brafman, Solomon Eyal Shimony
DBSEC
2006
124views Database» more  DBSEC 2006»
13 years 11 months ago
Consolidating the Access Control of Composite Applications and Workflows
The need for enterprise application integration projects leads to complex composite applications. For the sake of security and efficiency, consolidated access control policies for ...
Martin Wimmer, Alfons Kemper, Maarten Rits, Volkma...