Ordinal data

Known as: Ordinal score, Ordinal data (statistics), Ordinal-valued 
In statistics, ordinal data is a statistical data type consisting of numerical scores that exist on an ordinal scale, i.e. an arbitrary numerical… (More)
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Papers overview

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Review
2016
Review
2016
Ordinal regression problems are those machine learning problems where the objective is to classify patterns using a categorical… (More)
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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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Highly Cited
2014
Highly Cited
2014
Randomized Aggregatable Privacy-Preserving Ordinal Response, or RAPPOR, is a technology for crowdsourcing statistics from end… (More)
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Highly Cited
2012
Highly Cited
2012
Copyright is retained by the first or sole author, who grants right of first publication to the Practical Assessment, Research… (More)
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Highly Cited
2007
Highly Cited
2007
Classification of ordinal data is one of the most important tasks of relation learning. This paper introduces a new machine… (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
k-Anonymity is a useful concept to solve the tension between data utility and respondent privacy in individual data (microdata… (More)
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Highly Cited
1999
Highly Cited
1999
In contrast to the standard machine learning tasks of classi fication and metric regression we investigate the problem of… (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
1998
Highly Cited
1998
We present ordinal measures of association for image correspondence in the context of stereo. Linear correspondence measures like… (More)
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