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GECCO
2007
Springer
256views Optimization» more  GECCO 2007»
14 years 2 months ago
A particle swarm optimization approach for estimating parameter confidence regions
Point estimates of the parameters in real world models convey valuable information about the actual system. However, parameter comparisons and/or statistical inference requires de...
Praveen Koduru, Stephen Welch, Sanjoy Das
IJHPCA
2006
99views more  IJHPCA 2006»
13 years 8 months ago
A Pragmatic Analysis Of Scheduling Environments On New Computing Platforms
Today, large scale parallel systems are available at relatively low cost. Many powerful such systems have been installed all over the world and the number of users is always incre...
Lionel Eyraud
ICDM
2009
IEEE
111views Data Mining» more  ICDM 2009»
14 years 3 months ago
A Game Theoretical Model for Adversarial Learning
Abstract—It is now widely accepted that in many situations where classifiers are deployed, adversaries deliberately manipulate data in order to reduce the classifier’s accura...
Wei Liu, Sanjay Chawla
GECCO
2007
Springer
171views Optimization» more  GECCO 2007»
14 years 2 months ago
Toward a better understanding of rule initialisation and deletion
A number of heuristics have been used in Learning Classifier Systems to initialise parameters of new rules, to adjust fitness of parent rules when they generate offspring, and ...
Tim Kovacs, Larry Bull
EOR
2010
87views more  EOR 2010»
13 years 8 months ago
On the system optimum of traffic assignment in M/G/c/c state-dependent queueing networks
-- The classical Wardrop System Optimum (SO) assignment model assumes that the users will cooperate with each other in order to minimize the overall travel costs. The importance of...
Frederico R. B. Cruz, Tom Van Woensel, James MacGr...