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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
16 relations
Bradley–Terry model
Generalized linear model
Hinge loss
Information retrieval
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Papers overview
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2019
2019
Rank-consistent Ordinal Regression for Neural Networks
Wenzhi Cao
,
Vahid Mirjalili
,
S. Raschka
2019
Corpus ID: 162184121
In many real-world predictions tasks, class labels include information about the relative ordering between labels, which is not…
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2017
2017
Generalization Analysis for Ranking Using Integral Operator
Yong Liu
,
Shizhong Liao
,
Hailun Lin
,
Yinliang Yue
,
Weiping Wang
AAAI Conference on Artificial Intelligence
2017
Corpus ID: 2658328
The study on generalization performance of ranking algorithms is one of the fundamental issues in ranking learning theory…
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2015
2015
Sparse Bayesian Multiview Learning for Simultaneous Association Discovery and Diagnosis of Alzheimer's Disease
Shandian Zhe
,
Zenglin Xu
,
Y. Qi
,
YU Peng
AAAI Conference on Artificial Intelligence
2015
Corpus ID: 202960
In the analysis and diagnosis of many diseases, such as the Alzheimer's disease (AD), two important and related tasks are…
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2012
2012
Innovation Management Software Exploiting Multiple Criteria Analysis: The Case of Innovation Centre of Crete
Pavlos Delias
,
Georgia Kyriakaki
,
E. Grigoroudis
,
N. Matsatsinis
International Journal of Decision Support System…
2012
Corpus ID: 1876507
Innovation is a critical factor in building an organization's culture of growth. Provided that it is properly blended with…
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2009
2009
Non-additive Robust Ordinal Regression with Choquet integral, Bipolar and Level Dependent Choquet integrals
S. Angilella
,
S. Greco
,
B. Matarazzo
IFSA/EUSFLAT Conf.
2009
Corpus ID: 18853820
Choquet integral has proved to be an effective aggre- gation model in multiple criteria decision analysis when interactions…
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2007
2007
Focused crawling with scalable ordinal regression solvers
R. Babaria
,
SakethaNath Jagarlapudi
,
S. Krishnan
,
K. R. Sivaramakrishnan
,
C. Bhattacharyya
,
M. Murty
International Conference on Machine Learning
2007
Corpus ID: 524101
In this paper we propose a novel, scalable, clustering based Ordinal Regression formulation, which is an instance of a Second…
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Review
2007
Review
2007
Gatekeepers of science - Effects of external reviewers' attributes on the assessments of fellowship applications
L. Bornmann
,
Hans-Dieter Daniel
J. Informetrics
2007
Corpus ID: 34241227
2006
2006
Minimum Enclosing Spheres Formulations for Support Vector Ordinal Regression
S. Shevade
,
Wei Chu
Industrial Conference on Data Mining
2006
Corpus ID: 3117101
We present two new support vector approaches for ordinal regression. These approaches find the concentric spheres with minimum…
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Review
2005
Review
2005
Assigning Polarity Scores to Reviews Using Machine Learning Techniques
Daisuke Okanohara
,
Junichi Tsujii
International Joint Conference on Natural…
2005
Corpus ID: 14543859
We propose a novel type of document classification task that quantifies how much a given document (review) appreciates the target…
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2001
2001
Stereotype ordinal regression
M. Lunt
2001
Corpus ID: 9682246
There are a number of reasonable approaches to analysing an ordinal outcome variable. One common approach, known as the…
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