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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… 
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Related topics

Related topics

16 relations
Bradley–Terry modelGeneralized linear modelHinge lossInformation retrieval

Papers overview

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2019
2019
Rank-consistent Ordinal Regression for Neural Networks
In many real-world predictions tasks, class labels include information about the relative ordering between labels, which is not… 
2017
2017
Generalization Analysis for Ranking Using Integral Operator
The study on generalization performance of ranking algorithms is one of the fundamental issues in ranking learning theory… 
2015
2015
Sparse Bayesian Multiview Learning for Simultaneous Association Discovery and Diagnosis of Alzheimer's Disease
In the analysis and diagnosis of many diseases, such as the Alzheimer's disease (AD), two important and related tasks are… 
2012
2012
Innovation Management Software Exploiting Multiple Criteria Analysis: The Case of Innovation Centre of Crete
Innovation is a critical factor in building an organization's culture of growth. Provided that it is properly blended with… 
2009
2009
Non-additive Robust Ordinal Regression with Choquet integral, Bipolar and Level Dependent Choquet integrals
Choquet integral has proved to be an effective aggre- gation model in multiple criteria decision analysis when interactions… 
2007
2007
Focused crawling with scalable ordinal regression solvers
In this paper we propose a novel, scalable, clustering based Ordinal Regression formulation, which is an instance of a Second… 
Review
2007
Review
2007
Gatekeepers of science - Effects of external reviewers' attributes on the assessments of fellowship applications
2006
2006
Minimum Enclosing Spheres Formulations for Support Vector Ordinal Regression
We present two new support vector approaches for ordinal regression. These approaches find the concentric spheres with minimum… 
Review
2005
Review
2005
Assigning Polarity Scores to Reviews Using Machine Learning Techniques
We propose a novel type of document classification task that quantifies how much a given document (review) appreciates the target… 
2001
2001
Stereotype ordinal regression
There are a number of reasonable approaches to analysing an ordinal outcome variable. One common approach, known as the… 
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