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ALGORITHMICA
2006
74views more  ALGORITHMICA 2006»
13 years 9 months ago
Parallelizing Feature Selection
Classification is a key problem in machine learning/data mining. Algorithms for classification have the ability to predict the class of a new instance after having been trained on...
Jerffeson Teixeira de Souza, Stan Matwin, Nathalie...
JUCS
2008
140views more  JUCS 2008»
13 years 9 months ago
Parallel Formulations of Scalar Multiplication on Koblitz Curves
We present an algorithm that by using the and -1 Frobenius operators concurrently allows us to obtain a parallelized version of the classical -and-add scalar multiplication algor...
Omran Ahmadi, Darrel Hankerson, Francisco Rodr&iac...
LCN
2006
IEEE
14 years 3 months ago
Accuracy-Speedup Tradeoffs for a Time-Parallel Simulation of Wireless Ad hoc Networks
We introduce a scalable algorithm for time-parallel simulations of wireless ad hoc networks and report on our results. Our approach decomposes the simulation into overlapping temp...
Guoqiang Wang, Damla Turgut, Ladislau Böl&oum...
IEEEPACT
1998
IEEE
14 years 1 months ago
A New Heuristic for Scheduling Parallel Programs on Multiprocessor
In this paper, we present an efficient algorithm, called CASS-II, for task clustering without task duplication. Unlike the DSC algorithm, which is empirically the best known algor...
Jing-Chiou Liou, Michael A. Palis
GECCO
2007
Springer
300views Optimization» more  GECCO 2007»
14 years 3 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