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Ordinal Regression and Ranking
2011Accurate ordering or ranking over instances is of paramount importance for several applications (Faria et al. Learning to rank for content-based image retrieval. In: Proceedings of the Multimedia Information Retrieval Conference, pp. 285–294, 2010; Veloso et al. Learning to rank at query-time using association rules.
Adriano Veloso, Wagner Meira
openaire +1 more source
2010
In this chapter, the standard logistic model is extended to handle outcome variables that have more than two ordered categories. When the categories of the outcome variable have a natural order, ordinal logistic regression may be appropriate.
David G. Kleinbaum, Mitchel Klein
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In this chapter, the standard logistic model is extended to handle outcome variables that have more than two ordered categories. When the categories of the outcome variable have a natural order, ordinal logistic regression may be appropriate.
David G. Kleinbaum, Mitchel Klein
openaire +1 more source
Relative margin induced support vector ordinal regression
Expert Systems With Applications, 2023Fa Zhu, Xingchi Chen, Shuo Chen
exaly
Ordinal Logistic Regression With Partial Proportional Odds for Depression Prediction
IEEE Transactions on Affective Computing, 2023Julien Epps +2 more
exaly
Deep and interpretable regression models for ordinal outcomes
Pattern Recognition, 2022Lucas Kook +2 more
exaly

