Eufrasio de Andrade Lima Neto

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This paper introduces a new approach to fitting a linear regression model to symbolic interval data. Each example of the learning set is described by a feature vector, for which each feature value is an interval. The new method fits a linear regression model on the mid-points and ranges of the interval values assumed by the variables in the learning set.(More)
Current symbolic regression methods visualize problems from an optimization point of view and do not consider the probabilistic aspects related to regression models. In this paper, we present the bivariate generalized linear model (BGLM) proposed by Iwasaki and Tsubaki [5] in the context of interval-valued data sets. Important aspects related to the BGLM(More)
This paper introduces a nonlinear regression model to interval-valued data. The method extends the classical nonlinear regression model in order to manage interval-valued datasets. The parameter estimates of the nonlinear model considers some optimization algorithms aiming to identify which one presents the best accuracy and precision in the prediction(More)
  • DA PARAÍBA, CENTRO DE CIÊNCIAS, EXATAS E DA NATUREZA, PROGRAMA DE PÓS-GRADUAÇÃO, MODELOS DE DECISÃO, E SAÚDE +22 others
  • 2013
requisito regular para a obtenção do título de Mestre. A maioria dos pacientes não referiu dor nos últimos 6 meses anteriores à pesquisa (73,6%). Foram identificados como fatores de proteção para cárie dentária a menor distância onde o individuo reside até chegar ao hemocentro onde ele faz tratamento (OR=1,89) e ser portador de hemofilia A grave (OR=6,09),(More)