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» Methods for Dynamic Classifier Selection
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PAA
2008
13 years 7 months ago
A sparse Bayesian approach for joint feature selection and classifier learning
Abstract In this paper we present a new method for Joint Feature Selection and Classifier Learning (JFSCL) using a sparse Bayesian approach. These tasks are performed by optimizing...
Àgata Lapedriza, Santi Seguí, David ...
EUSFLAT
2009
125views Fuzzy Logic» more  EUSFLAT 2009»
13 years 5 months ago
A Dynamic Classification Method for the Discrimination of Evolving Data
Classes issued of evolving systems are dynamic and their characteristics vary over the time. Assigning a pattern to a class is achieved using a classifier. Therefore, the classifie...
Laurent Hartert, Moamar Sayed Mouchaweh, Patrice B...
CVPR
2003
IEEE
14 years 9 months ago
Simultaneous Feature Selection and Classifier Training via Linear Programming: A Case Study for Face Expression Recognition
A linear programming technique is introduced that jointly performs feature selection and classifier training so that a subset of features is optimally selected together with the c...
Guodong Guo, Charles R. Dyer
SSPR
2004
Springer
14 years 29 days ago
An MCMC Feature Selection Technique for Characterizing and Classifying Spatial Region Data
We focus on characterizing spatial region data when distinct classes of structural patterns are present. We propose a novel statistical approach based on a supervised framework for...
Despina Kontos, Vasileios Megalooikonomou, Marc J....
GECCO
2006
Springer
110views Optimization» more  GECCO 2006»
13 years 11 months ago
A game-theoretic investigation of selection methods in two-population coevolution
We examine the dynamical and game-theoretic properties of several selection methods in the context of twopopulation coevolution. The methods we examine are fitness-proportional, l...
Sevan G. Ficici