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AAAI
2011
12 years 5 months ago
Pushing the Power of Stochastic Greedy Ordering Schemes for Inference in Graphical Models
We study iterative randomized greedy algorithms for generating (elimination) orderings with small induced width and state space size - two parameters known to bound the complexity...
Kalev Kask, Andrew Gelfand, Lars Otten, Rina Decht...
IPSN
2005
Springer
13 years 11 months ago
Robust computation of aggregates in wireless sensor networks: distributed randomized algorithms and analysis
A wireless sensor network consists of a large number of small, resource-constrained devices and usually operates in hostile environments that are prone to link and node failures. ...
Jen-Yeu Chen, Gopal Pandurangan, Dongyan Xu
FOCS
1999
IEEE
13 years 10 months ago
An Algorithmic Theory of Learning: Robust Concepts and Random Projection
We study the phenomenon of cognitive learning from an algorithmic standpoint. How does the brain effectively learn concepts from a small number of examples despite the fact that e...
Rosa I. Arriaga, Santosh Vempala
JDA
2008
85views more  JDA 2008»
13 years 5 months ago
A robust randomized algorithm to perform independent tasks
The Do-All problem is about scheduling t similar and independent tasks to be performed by p processors prone to crashes. We assume that the distributed system is synchronous with ...
Bogdan S. Chlebus, Leszek Gasieniec, Dariusz R. Ko...