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ICEIS
2009
IEEE
14 years 3 months ago
A Service Composition Framework for Decision Making under Uncertainty
Proposed and developed is a service composition framework for decision-making under uncertainty, which is applicable to stochastic optimization of supply chains. Also developed is ...
Malak Al-Nory, Alexander Brodsky, Hadon Nash
SAC
2005
ACM
14 years 2 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
COCOA
2008
Springer
13 years 10 months ago
Stochastic Online Scheduling Revisited
We consider the problem of minimizing the total weighted completion time on identical parallel machines when jobs have stochastic processing times and may arrive over time. We give...
Andreas S. Schulz
GECCO
2010
Springer
239views Optimization» more  GECCO 2010»
14 years 4 days ago
Benchmarking SPSA on BBOB-2010 noiseless function testbed
This paper presents the result for Simultaneous Perturbation Stochastic Approximation (SPSA) on the BBOB 2010 noiseless testbed. SPSA is a stochastic gradient approximation strate...
Steffen Finck, Hans-Georg Beyer
ICCMS
2009
118views more  ICCMS 2009»
13 years 6 months ago
Optimized Parallel Implementation of Gillespie's First Reaction Method on Graphics Processing Units
The simulation of chemical reacting systems is one of the most challenging topics in Systems Biology, due to their complexity and inherent randomness. The Gillespie's Stochas...
Cristian Dittamo, Davide Cangelosi