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FLAIRS
2004
14 years 11 months ago
State Space Reduction For Hierarchical Reinforcement Learning
er provides new techniques for abstracting the state space of a Markov Decision Process (MDP). These techniques extend one of the recent minimization models, known as -reduction, ...
Mehran Asadi, Manfred Huber
ICDT
2001
ACM
147views Database» more  ICDT 2001»
15 years 2 months ago
Parallelizing the Data Cube
This paper presents a general methodology for the efficient parallelization of existing data cube construction algorithms. We describe two different partitioning strategies, one f...
Frank K. H. A. Dehne, Todd Eavis, Susanne E. Hambr...
NSDI
2010
14 years 11 months ago
Centrifuge: Integrated Lease Management and Partitioning for Cloud Services
: Making cloud services responsive is critical to providing a compelling user experience. Many largescale sites, including LinkedIn, Digg and Facebook, address this need by deployi...
Atul Adya, John Dunagan, Alec Wolman
EGH
2009
Springer
14 years 7 months ago
Object partitioning considered harmful: space subdivision for BVHs
A major factor for the efficiency of ray tracing is the use of good acceleration structures. Recently, bounding volume hierarchies (BVHs) have become the preferred acceleration st...
Stefan Popov, Iliyan Georgiev, Rossen Dimov, Phili...
VLDB
2008
ACM
147views Database» more  VLDB 2008»
15 years 10 months ago
Tree-based partition querying: a methodology for computing medoids in large spatial datasets
Besides traditional domains (e.g., resource allocation, data mining applications), algorithms for medoid computation and related problems will play an important role in numerous e...
Kyriakos Mouratidis, Dimitris Papadias, Spiros Pap...