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Statistical learning approaches for discriminant features selection
(Sociedade Brasileira de Computação, 2008)
Supervised statistical learning covers important models like Support Vector Machines (SVM) and Linear Discriminant Analysis (LDA). In this paper we describe the idea of using the discriminant weights given by SVM and LDA ...
Nested AdaBoost procedure for classification and multi-class nonlinear discriminant analysis
(2020-07-12)
AdaBoost methods find an accurate classifier by combining moderate learners that can be computed using traditional techniques based, for instance, on separating hyperplanes. Recently, we proposed a strategy to compute each ...
Nested AdaBoost procedure for classification and multi-class nonlinear discriminant analysis
(2020-07-12)
AdaBoost methods find an accurate classifier by combining moderate learners that can be computed using traditional techniques based, for instance, on separating hyperplanes. Recently, we proposed a strategy to compute each ...
Support vector machine ensembles for discriminant analysis for ranking principal components
(2020-07-05)
The problem of ranking linear subspaces in principal component analysis (PCA), for multiclass classification tasks, has been addressed by building support vector machine (SVM) ensembles and AdaBoost.M2 technique. This ...
A new ranking method for principal components analysis and its application to face image analysis
(2010)
In this work, we investigate a new ranking method for principal component analysis (PCA). Instead of sorting the principal components in decreasing order of the corresponding eigenvalues, we propose the idea of using the ...
A new ranking method for principal components analysis and its application to face image analysis
(2010)
In this work, we investigate a new ranking method for principal component analysis (PCA). Instead of sorting the principal components in decreasing order of the corresponding eigenvalues, we propose the idea of using the ...
Método de segmentações geométricas sucessivas para treinamento de redes neurais artificiais
(Universidade Federal de Juiz de Fora (UFJF)BrasilFaculdade de EngenhariaPrograma de Pós-graduação em Engenharia ElétricaUFJF, 2017)
An integer programming approach for the 2-class single-group classification problem
(Elsevier, 2019)
Two sets XB, XR ⊆ Rd are linearly separable if their convex hulls are disjoint, implying that a hyperplane separating XB from XR exists. Such a hyperplane provides a method for classifying new points, according to the side ...