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COLT
1992
Springer
15 years 3 months ago
Language Learning from Stochastic Input
Language learning from positive data in the Gold model of inductive inference is investigated in a setting where the data can be modeled as a stochastic process. Specifically, the...
Shyam Kapur, Gianfranco Bilardi
HPDC
2010
IEEE
14 years 12 months ago
Toward high performance computing in unconventional computing environments
Parallel computing on volatile distributed resources requires schedulers that consider job and resource characteristics. We study unconventional computing environments containing ...
Brent Rood, Nathan Gnanasambandam, Michael J. Lewi...
SODA
2008
ACM
97views Algorithms» more  SODA 2008»
15 years 1 months ago
Stochastic analyses for online combinatorial optimization problems
In this paper, we study online algorithms when the input is not chosen adversarially, but consists of draws from some given probability distribution. While this model has been stu...
Naveen Garg, Anupam Gupta, Stefano Leonardi, Piotr...
SPAA
2004
ACM
15 years 5 months ago
Online hierarchical cooperative caching
We address a hierarchical generalization of the well-known disk paging problem. In the hierarchical cooperative caching problem, a set of n machines residing in an ultrametric spa...
Xiaozhou Li, C. Greg Plaxton, Mitul Tiwari, Arun V...
CORR
2006
Springer
145views Education» more  CORR 2006»
14 years 11 months ago
Product Multicommodity Flow in Wireless Networks
We provide a tight approximate characterization of the n-dimensional product multicommodity flow (PMF) region for a wireless network of n nodes. Separate characterizations in term...
Ritesh Madan, Devavrat Shah, Olivier Lév&ec...