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Feature selection on wide multiclass problems using OVA-RFE
(Sociedad Iberoamericana de Inteligencia Artificial, 2009-12)
Feature selection is a pre–processing technique commonly used with high–dimensional datasets. It is aimed at reducing the dimensionality of the input space, discarding useless or redundant variables, in order to increase ...
Aprendizado de máquina baseado em separabilidade linear em sistema de classificação híbrido-nebuloso aplicado a problemas multiclasse
(Universidade Federal de São CarlosBRUFSCarPrograma de Pós-Graduação em Ciência da Computação - PPGCC, 2009-06-29)
This master thesis describes an intelligent classifier system applied to multiclass non-linearly separable problems called Slicer. The system adopts a low computacional cost supervised learning strategy (evaluated as ) ...
Multiclass from Binary: Expanding One-Versus-All, One-Versus-One and ECOC-Based Approaches
(Ieee-inst Electrical Electronics Engineers IncPiscatawayEUA, 2014)
Analysis of a multiclass classification problem by Lasso Logistic Regression and Singular Value Decomposition to identify sound patterns in queenless bee colonies
(Elsevier, 2019-04)
This study presents an analysis of a multiclass classification problem to identify queenless states by monitoring bee sound in two possible cases; a strong and healthy colony that lost its queen and a reduced population ...
Multiclass classification of microarray data samples with a reduced number of genes
(Biomed Central, 2011-02)
Background: Multiclass classification of microarray data samples with a reduced number of genes is a rich and challenging problem in Bioinformatics research. The problem gets harder as the number of classes is increased. ...