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SAC
2005
ACM
15 years 3 months ago
Stochastic scheduling of active support vector learning algorithms
Active learning is a generic approach to accelerate training of classifiers in order to achieve a higher accuracy with a small number of training examples. In the past, simple ac...
Gaurav Pandey, Himanshu Gupta, Pabitra Mitra
EOR
2010
159views more  EOR 2010»
14 years 4 months ago
An exact algorithm for a vehicle routing problem with time windows and multiple use of vehicles
The vehicle routing problem with multiple use of vehicles is a variant of the classical vehicle routing problem. It arises when each vehicle performs several routes during the wor...
Nabila Azi, Michel Gendreau, Jean-Yves Potvin
ICCAD
2009
IEEE
131views Hardware» more  ICCAD 2009»
14 years 7 months ago
Scheduling with soft constraints
In a behavioral synthesis system, a typical approach used to guide the scheduler is to impose hard constraints on the relative timing between operations considering performance, a...
Jason Cong, Bin Liu, Zhiru Zhang
CADE
2011
Springer
13 years 9 months ago
Exploiting Symmetry in SMT Problems
Abstract. Methods exploiting problem symmetries have been very successful in several areas including constraint programming and SAT solving. We here recast a technique to enhance t...
David Déharbe, Pascal Fontaine, Stephan Mer...
CORR
2008
Springer
96views Education» more  CORR 2008»
14 years 9 months ago
Improved Approximations for Multiprocessor Scheduling Under Uncertainty
This paper presents improved approximation algorithms for the problem of multiprocessor scheduling under uncertainty (SUU), in which the execution of each job may fail probabilist...
Christopher Y. Crutchfield, Zoran Dzunic, Jeremy T...