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A Metric Approach for Ordinal Regression
1997This paper presents a metric approach for the regression of ordinal variables. In contrast to most other studies, the problem of independent, ordinal variables with a dependent variable that is a metric scale is analyzed. For this situation, some properties of the estimated parameters of the model are described.
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Ordinal Regression in Evolutionary Computation
2006Surrogate ranking in evolutionary computation using ordinal regression is introduced. The fitness of individual points is indirectly estimated by modeling their rank. The aim is to reduce the number of costly fitness evaluations needed for evolution.
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Knee osteoarthritis severity classification with ordinal regression module
Multimedia tools and applications, 2021Ching-Wai Yong +6 more
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Regression Models for Ordinal Outcomes
JAMA, 2022Benjamin, French, Matthew S, Shotwell
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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
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Deep and interpretable regression models for ordinal outcomes
Pattern Recognition, 2022Torsten Hothorn, Beate Sick, Lucas Kook
exaly
Classification of cervical cells leveraging simultaneous super-resolution and ordinal regression
Applied Soft Computing, 2022Zhi-Peng Lin +5 more
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