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» Data Mining for Genetics: A Genetic Algorithm Approach
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187
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IEEEPACT
2008
IEEE
16 years 16 days 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...
171
Voted
BMCBI
2008
160views more  BMCBI 2008»
15 years 6 months ago
Feature selection environment for genomic applications
Background: Feature selection is a pattern recognition approach to choose important variables according to some criteria in order to distinguish or explain certain phenomena (i.e....
Fabrício Martins Lopes, David Correa Martin...
ICCV
2009
IEEE
1735views Computer Vision» more  ICCV 2009»
16 years 11 months ago
Coded Aperture Pairs for Depth From Defocus
The classical approach to depth from defocus uses two images taken with circular apertures of different sizes. We show in this paper that the use of a circular aperture severely...
Changyin Zhou, Stephen Lin, Shree Nayar
CEC
2009
IEEE
16 years 27 days ago
Bio-inspired reverse engineering of regulatory networks
— Regulatory networks are complex networks. This paper addresses the challenge of modelling these networks. The Boolean representation is chosen and supported as a representation...
Cristina Costa Santini, Gunnar Tufte, Pauline C. H...
CSE
2009
IEEE
16 years 27 days ago
Tuning Evidence-Based Trust Models
Abstract—Many evidence-based trust models require the adjustment of parameters such as aging- or exploration-factors. What the literature often does not address is the systematic...
Eugen Staab, Thomas Engel