Buscar
Mostrando ítems 1-3 de 3
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 ...
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 ...
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 ...