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ICDAR
2007
IEEE
14 years 3 months ago
Multi-Objective Optimization for SVM Model Selection
In this paper, we propose a multi-objective optimization method for SVM model selection using the well known NSGA-II algorithm. FA and FR rates are the two criteria used to find ...
Clément Chatelain, Sébastien Adam, Y...
AAMAS
2002
Springer
13 years 8 months ago
Stochastic Simulation of Inherited Kinship-Driven Altruism
The aim of this research is to assess the r^ole of a hypothetical inherited feature (gene) promoting altruism between relatives as a factor for survival in the context of a multi-...
Heather Turner, Dimitar Kazakov
IPCV
2008
13 years 10 months ago
Face Recognition using PCA and LDA with Singular Value Decomposition (SVD)
Linear Discriminant Analysis(LDA) is well-known scheme for feature extraction and dimension reduction. It has been used widely in many applications involving high-dimensional data,...
Neeta Nain, Nitish Agarwal, Prashant Gour, Rakesh ...
WABI
2004
Springer
106views Bioinformatics» more  WABI 2004»
14 years 2 months ago
Suboptimal Local Alignments Across Multiple Scoring Schemes
Abstract. Sequence alignment algorithms have a long standing tradition in bioinformatics. In this paper, we formulate an extension to existing local alignment algorithms: local ali...
Morris Michael, Christoph Dieterich, Jens Stoye
BMCBI
2008
160views more  BMCBI 2008»
13 years 9 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...