ListarDIAN-Artículos, capítulos... por tema "Ordinal regression"
Mostrando ítems 1-7 de 7
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A guided data projection technique for classi cation of sovereign ratings: the case of European Union 27
(2017-01-20)Sovereign rating has had an increasing importance since the beginning of the nancial crisis. However, credit rating agencies opacity has been criticised by several authors highlighting the suitability of designing more ... -
Exploitation of Pairwise Class Distances for Ordinal Classification
(2013-07-15)Ordinal classification refers to classification problems in which the classes have a natural order imposed on them because of the nature of the concept studied. Some ordinal classification approaches perform a projection ... -
Ordinal and nominal classication of wind speed from synoptic pressure patterns
(2017-01-18)Wind speed reconstruction is a challenging problem in areas (mainly wind farms) where there are not direct wind measures available. Di erent approaches have been applied to this reconstruction, such as measure-correlat ... -
Ordinal regression methods: survey and experimental study
(2017-02-03)Abstract—Ordinal regression problems are those machine learning problems where the objective is to classify patterns using a categorical scale which shows a natural order between the labels. Many real-world applications ... -
Projection based ensemble learning for ordinal regression
(2013-10-08)The classification of patterns into naturally ordered labels is referred to as ordinal regression. This paper proposes an ensemble methodology specifically adapted to this type of problems, which is based on computing ... -
Semi-supervised Learning for Ordinal Kernel Discriminant Analysis
(Elsevier, 2016)Ordinal classication considers those classication problems where the labels of the variable to predict follow a given order. Naturally, labelled data is scarce or di_cult to obtain in this type of problems because, in ... -
Unimodal regularisation based on beta distribution for deep ordinal regression
(Elsevier, 2022)Currently, the use of deep learning for solving ordinal classification problems, where categories follow a natural order, has not received much attention. In this paper, we propose an unimodal regularisation based on the ...