Ordinal regression

Known as: Ranking learning 
In statistics, ordinal regression (also called "ordinal classification") is a type of regression analysis used for predicting an ordinal variable, i… (More)
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Topic mentions per year

Topic mentions per year

1976-2018
0204019762018

Papers overview

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Highly Cited
2015
Highly Cited
2015
Support vector ordinal regression (SVOR) is a popular method to tackle ordinal regression problems. However, until now there were… (More)
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2010
2010
Ordinal regression has wide applications in many domains where the human evaluation plays a major role. Most current ordinal… (More)
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Highly Cited
2007
Highly Cited
2007
In this letter, we propose two new support vector approaches for ordinal regression, which optimize multiple thresholds to define… (More)
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2007
2007
In this paper we propose a novel, scalable, clustering based Ordinal Regression formulation, which is an instance of a Second… (More)
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Highly Cited
2006
Highly Cited
2006
We present a reduction framework from ordinal regression to binary classification based on extended examples. The framework… (More)
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2006
2006
Ordinal regression has become an effective way of learning user preferences, but most research focuses on single regression… (More)
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Highly Cited
2005
Highly Cited
2005
We present a probabilistic kernel approach to ordinal regression based on Gaussian processes. A threshold model that generalizes… (More)
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Highly Cited
2005
Highly Cited
2005
In this paper, we propose two new support vector approaches for ordinal regression, which optimize multiple thresholds to define… (More)
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Highly Cited
1999
Highly Cited
1999
We investigate the problem of predicting variables of ordinal scale. This taks is referred to as ordinal regression and is… (More)
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Highly Cited
1999
Highly Cited
1999
In contrast to the standard machine learning tasks of classi cation and metric regression we investigate the problem of… (More)
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