Results 251 to 260 of about 263,732 (287)

Ordinal Regression With Pinball Loss

IEEE Transactions on Neural Networks and Learning Systems
Ordinal regression (OR) aims to solve multiclass classification problems with ordinal classes. Support vector OR (SVOR) is a typical OR algorithm and has been extensively used in OR problems. In this article, based on the characteristics of OR problems, we propose a novel pinball loss function and present an SVOR method with pinball loss (pin-SVOR ...
Guangzheng Zhong, Yanshan Xiao, Bo Liu, Liang Zhao, Xiangjun Kong   +4 more
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Ordinal Regression and Ranking

2011
Accurate 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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Bayesian Hierarchical Ordinal Regression

2005
We present a Bayesian approach to ordinal regression. Our model is based on a hierarchical mixture of experts model and performs a soft partitioning of the input space into different ranks, such that the order of the ranks is preserved. Experimental results on benchmark data sets show a comparable performance to support vector machine and Gaussian ...
Ulrich Paquet, Sean Holden, Andrew Naish-Guzman   +2 more
openaire   +1 more source

Alternative models for ordinal logistic regression

Statistics in Medicine, 1994
AbstractArmstrong and Sloan have reviewed two types of ordinal logistic models for epidemiologic data: the cumulative‐odds model and the continuation‐ratio model. I review here certain aspects of these models not emphasized previously, and describe a third type, the stereotype model, which in certain situations offers greater flexibility coupled with ...
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Ordinal Logistic Regression

2023
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A robust ordinal regression feedback consensus model with dynamic trust propagation in social network group decision-making

Information Fusion, 2023
Yanxin Xu
exaly  

Relative margin induced support vector ordinal regression

Expert Systems With Applications, 2023
Fa Zhu, , Shuo Chen
exaly  

Ordinal Regression

2023
openaire   +1 more source

Deep and interpretable regression models for ordinal outcomes

Pattern Recognition, 2022
Lucas Heinrich Kook, Torsten Hothorn
exaly  

Ordinal Regression

2021
openaire   +1 more source