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GECCO
2007
Springer
300views Optimization» more  GECCO 2007»
14 years 2 months ago
A NSGA-II, web-enabled, parallel optimization framework for NLP and MINLP
Engineering design increasingly uses computer simulation models coupled with optimization algorithms to find the best design that meets the customer constraints within a time con...
David J. Powell, Joel K. Hollingsworth
IWANN
2005
Springer
14 years 1 months ago
Balanced Boosting with Parallel Perceptrons
Boosting constructs a weighted classifier out of possibly weak learners by successively concentrating on those patterns harder to classify. While giving excellent results in many ...
Iván Cantador, José R. Dorronsoro
IBPRIA
2005
Springer
14 years 1 months ago
Parallel Perceptrons, Activation Margins and Imbalanced Training Set Pruning
A natural way to deal with training samples in imbalanced class problems is to prune them removing redundant patterns, easy to classify and probably over represented, and label noi...
Iván Cantador, José R. Dorronsoro
ICDE
1993
IEEE
158views Database» more  ICDE 1993»
14 years 7 days ago
Data fragmentation for parallel transitive closure strategies
A topic that is currently inspiring a lot of research is parallel (distributed) computation of transitive closure queries. In [lo] the disconnection set approach has been introduc...
Maurice A. W. Houtsma, Peter M. G. Apers, Gideon L...
LATIN
2010
Springer
13 years 10 months ago
Randomized Truthful Algorithms for Scheduling Selfish Tasks on Parallel Machines
We study the problem of designing truthful algorithms for scheduling a set of tasks, each one owned by a selfish agent, to a set of parallel (identical or unrelated) machines in or...
Eric Angel, Evripidis Bampis, Nicolas Thibault