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HIS
2008
14 years 11 months ago
Evolutionary Training Set Selection to Optimize C4.5 in Imbalanced Problems
Classification in imbalanced domains is a recent challenge in machine learning. We refer to imbalanced classification when data presents many examples from one class and few from ...
Salvador García, Francisco Herrera
PDCN
2004
14 years 11 months ago
Selective inline expansion for improvement of multi grain parallelism
This paper proposes a selective procedure inlining scheme to improve a multi-grain parallelism, which hierarchically exploits the coarse grain task parallelism among loops, subrou...
Jun Shirako, Kouhei Nagasawa, Kazuhisa Ishizaka, M...
WSC
2004
14 years 11 months ago
Simulated Annealing for Selection of Experimental Regions in Response Surface Methodology Applications
In this paper we describe a methodology that includes the complementary use of simulated annealing and response surface methodology (RSM). The methodology was developed for analys...
Jeffrey B. Schamburg, Donald E. Brown
GRIDNETS
2008
14 years 10 months ago
Hop Optimization and Relay Node Selection in Multi-hop Wireless Ad-Hoc Networks
In this paper we propose an efficient approach to determine the optimal hops for multi-hop ad hoc wireless networks. Based on the assumption that nodes use successive interferenc...
Xiaohua Li
ESWA
2007
131views more  ESWA 2007»
14 years 9 months ago
Case-based selection of initialisation heuristics for metaheuristic examination timetabling
Examination timetabling problems are often solved by a two-phase procedure combining a sequential construction heuristic with a metaheuristic improvement search. There can be many...
Sanja Petrovic, Yong Yang, Moshe Dror