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» A hybrid approach to parameter tuning in genetic algorithms
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IEEEPACT
2008
IEEE
14 years 2 months ago
Feature selection and policy optimization for distributed instruction placement using reinforcement learning
Communication overheads are one of the fundamental challenges in a multiprocessor system. As the number of processors on a chip increases, communication overheads and the distribu...
Katherine E. Coons, Behnam Robatmili, Matthew E. T...
IPPS
2007
IEEE
14 years 2 months ago
Optimizing Sorting with Machine Learning Algorithms
The growing complexity of modern processors has made the development of highly efficient code increasingly difficult. Manually developing highly efficient code is usually expen...
Xiaoming Li, María Jesús Garzar&aacu...
TSP
2010
13 years 2 months ago
Improved dual decomposition based optimization for DSL dynamic spectrum management
Dynamic spectrum management (DSM) has been recognized as a key technology to significantly improve the performance of digital subscriber line (DSL) broadband access networks. The b...
Paschalis Tsiaflakis, Ion Necoara, Johan A. K. Suy...
IDA
2010
Springer
13 years 6 months ago
GA-stacking: Evolutionary stacked generalization
Stacking is a widely used technique for combining classifiers and improving prediction accuracy. Early research in Stacking showed that selecting the right classifiers, their par...
Agapito Ledezma, Ricardo Aler, Araceli Sanch&iacut...
CSB
2005
IEEE
132views Bioinformatics» more  CSB 2005»
13 years 9 months ago
A Fast Shotgun Assembly Heuristic
Genome sequencing opened a new era in genetics allowing the study of genomes at the nucleotide level. However, the chosen method of sequencing produced large numbers of nucleotide...
Christopher Wilks, Sami Khuri