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Now showing items 11-20 of 451
Multiclass from Binary: Expanding One-Versus-All, One-Versus-One and ECOC-Based Approaches
(Ieee-inst Electrical Electronics Engineers IncPiscatawayEUA, 2014)
Improved multiclass feature selection via list combination
(Pergamon-Elsevier Science Ltd, 2017-12)
Feature selection is a crucial machine learning technique aimed at reducing the dimensionality of the input space. By discarding useless or redundant variables, not only it improves model performance but also facilitates ...
A multi-class structured dictionary learning method using discriminant atom selection
(Springer, 2020-11)
In the last decade, traditional dictionary learning methods have been successfully applied to various pattern classification tasks. Although these methods produce sparse representations of signals which are robust against ...
Determinação multiclasse de agrotóxicos em camas biológicas empregando cromatografia líquida acoplada a espectrometria de massas
(Universidade Federal de Santa MariaBrasilQuímicaUFSMPrograma de Pós-Graduação em QuímicaCentro de Ciências Naturais e Exatas, 2022-02-14)
Pesticides are used worldwide in the agricultural production of different crops in order to avoid losses in production due to the attack of pests and diseases. Due to the increase in food production, consequently, the ...
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 ) ...