# Ordinal data

## Papers overview

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Review

2016

Review

2016

- IEEE Transactions on Knowledge and Dataâ€¦
- 2016

Ordinal regression problems are those machine learning problems where the objective is to classify patterns using a categoricalâ€¦Â (More)

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2015

Highly Cited

2015

- IEEE Transactions on Neural Networks and Learningâ€¦
- 2015

Support vector ordinal regression (SVOR) is a popular method to tackle ordinal regression problems. However, until now there wereâ€¦Â (More)

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2014

Highly Cited

2014

- ACM Conference on Computer and Communicationsâ€¦
- 2014

Randomized Aggregatable Privacy-Preserving Ordinal Response, or RAPPOR, is a technology for crowdsourcing statistics from endâ€¦Â (More)

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2012

Highly Cited

2012

- 2012

Copyright is retained by the first or sole author, who grants right of first publication to the Practical Assessment, Researchâ€¦Â (More)

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2007

Highly Cited

2007

- Journal of Machine Learning Research
- 2007

Classification of ordinal data is one of the most important tasks of relation learning. This paper introduces a new machineâ€¦Â (More)

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2005

Highly Cited

2005

- Journal of Machine Learning Research
- 2005

We present a probabilistic kernel approach to ordinal regression based on Gaussian processes. A threshold model that generalizesâ€¦Â (More)

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2005

Highly Cited

2005

- Data Mining and Knowledge Discovery
- 2005

k-Anonymity is a useful concept to solve the tension between data utility and respondent privacy in individual data (microdataâ€¦Â (More)

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1999

Highly Cited

1999

- 1999

In contrast to the standard machine learning tasks of classi fication and metric regression we investigate the problem ofâ€¦Â (More)

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1999

Highly Cited

1999

- 1999

We investigate the problem of predicting variables of ordinal scale. This taks is referred to as ordinal regression and isâ€¦Â (More)

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1998

Highly Cited

1998

- IEEE Trans. Pattern Anal. Mach. Intell.
- 1998

We present ordinal measures of association for image correspondence in the context of stereo. Linear correspondence measures likeâ€¦Â (More)

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