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» Parallelizing Feature Selection
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CEC
2005
IEEE
14 years 1 months ago
Parallel evolutionary algorithms on graphics processing unit
Evolutionary Algorithms (EAs) are effective and robust methods for solving many practical problems such as feature selection, electrical circuits synthesis, and data mining. Howeve...
Man Leung Wong, Tien-Tsin Wong, Ka-Ling Fok
IPPS
2009
IEEE
14 years 2 months ago
Dynamic parallelization for RNA structure comparison
In this paper we describe the parallelization of a dynamic programming algorithm used to find common RNA secondary structures including pseudoknots and similar structures. The se...
Eric Snow, Eric Aubanel, Patricia Evans
ICANN
2010
Springer
13 years 5 months ago
The Support Feature Machine for Classifying with the Least Number of Features
We propose the so-called Support Feature Machine (SFM) as a novel approach to feature selection for classification, based on minimisation of the zero norm of a separating hyperplan...
Sascha Klement, Thomas Martinetz
IPPS
2007
IEEE
14 years 1 months ago
Software Tools for Performance Modeling of Parallel Programs
This paper presents a framework based on a user driven methodology to obtain analytical models of MPI applications on parallel systems in a systematic and easy to use way. This me...
Diego Rodriguez Martínez, Vicente Blanco P&...
CG
2008
Springer
13 years 7 months ago
Parallel reflective symmetry transformation for volume data
Many volume data possess symmetric features that can be clearly observed, for example, those existing in diffusion tensor image data sets. The exploitations of symmetries for volu...
Yuan Hong, Han-Wei Shen