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» Lower Bounds in Distributed Computing
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SPAA
2009
ACM
16 years 3 months ago
Beyond nested parallelism: tight bounds on work-stealing overheads for parallel futures
Work stealing is a popular method of scheduling fine-grained parallel tasks. The performance of work stealing has been extensively studied, both theoretically and empirically, but...
Daniel Spoonhower, Guy E. Blelloch, Phillip B. Gib...
UAI
2008
15 years 4 months ago
Small Sample Inference for Generalization Error in Classification Using the CUD Bound
Confidence measures for the generalization error are crucial when small training samples are used to construct classifiers. A common approach is to estimate the generalization err...
Eric Laber, Susan Murphy
MFCS
2010
Springer
15 years 1 months ago
Qualitative Analysis of Partially-Observable Markov Decision Processes
We study observation-based strategies for partially-observable Markov decision processes (POMDPs) with parity objectives. An observationbased strategy relies on partial information...
Krishnendu Chatterjee, Laurent Doyen, Thomas A. He...
JGO
2010
100views more  JGO 2010»
14 years 10 months ago
On convex relaxations of quadrilinear terms
The best known method to find exact or at least -approximate solutions to polynomial programming problems is the spatial Branch-and-Bound algorithm, which rests on computing lower...
Sonia Cafieri, Jon Lee, Leo Liberti
CHI
2010
ACM
15 years 7 months ago
Share: a programming environment for loosely bound cooperation
We introduce a programming environment entitled Share that is designed to encourage loosely bound cooperation between individuals within communities of practice through the sharin...
Yannick Assogba, Judith S. Donath