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UAI
1997
14 years 11 months ago
A Scheme for Approximating Probabilistic Inference
This paper describes a class ofprobabilistic approximation algorithms based on bucket elimination which o er adjustable levels of accuracy ande ciency. We analyzethe approximation...
Rina Dechter, Irina Rish
95
Voted
ATAL
2010
Springer
14 years 10 months ago
Closing the learning-planning loop with predictive state representations
A central problem in artificial intelligence is to choose actions to maximize reward in a partially observable, uncertain environment. To do so, we must learn an accurate model of ...
Byron Boots, Sajid M. Siddiqi, Geoffrey J. Gordon
94
Voted
CONEXT
2009
ACM
14 years 10 months ago
ARES: an anti-jamming reinforcement system for 802.11 networks
Dense, unmanaged 802.11 deployments tempt saboteurs into launching jamming attacks by injecting malicious interference. Nowadays, jammers can be portable devices that transmit int...
Konstantinos Pelechrinis, Ioannis Broustis, Srikan...
112
Voted
HPDC
2010
IEEE
14 years 10 months ago
GatorShare: a file system framework for high-throughput data management
Voluntary Computing systems or Desktop Grids (DGs) enable sharing of commodity computing resources across the globe and have gained tremendous popularity among scientific research...
Jiangyan Xu, Renato J. O. Figueiredo
HPDC
2010
IEEE
14 years 10 months ago
Cluster-wide context switch of virtualized jobs
Clusters are mostly used through Resources Management Systems (RMS) with a static allocation of resources for a bounded amount of time. Those approaches are known to be insufficie...
Fabien Hermenier, Adrien Lebre, Jean-Marc Menaud