A neural network approach to ordinal regression

Jianlin Cheng, Zheng Wang, Gianluca Pollastri

Research output: Chapter in Book/Report/Conference proceedingConference contribution

31 Citations (Scopus)

Abstract

Ordinal regression is an important type of learning, which has properties of both classification and regression. Here we describe an effective approach to adapt a traditional neural network to learn ordinal categories. Our approach is a generalization of the perceptron method for ordinal regression. On several benchmark datasets, our method (NNRank) outperforms a neural network classification method. Compared with the ordinal regression methods using Gaussian processes and support vector machines, NNRank achieves comparable performance. Moreover, NNRank has the advantages of traditional neural networks: learning in both online and batch modes, handling very large training datasets, and making rapid predictions. These features make NNRank a useful and complementary tool for large-scale data mining tasks such as information retrieval, web page ranking, collaborative filtering, and protein ranking in Bioinformatics. The neural network software is available at: http://www.cs.missouri.edu/~chengji/cheng_software.html.

Original languageEnglish (US)
Title of host publication2008 International Joint Conference on Neural Networks, IJCNN 2008
Pages1279-1284
Number of pages6
DOIs
StatePublished - Nov 24 2008
Externally publishedYes
Event2008 International Joint Conference on Neural Networks, IJCNN 2008 - Hong Kong, China
Duration: Jun 1 2008Jun 8 2008

Other

Other2008 International Joint Conference on Neural Networks, IJCNN 2008
CountryChina
CityHong Kong
Period6/1/086/8/08

Fingerprint

Neural networks
Collaborative filtering
Bioinformatics
Information retrieval
Support vector machines
Data mining
Websites
Proteins

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence

Cite this

Cheng, J., Wang, Z., & Pollastri, G. (2008). A neural network approach to ordinal regression. In 2008 International Joint Conference on Neural Networks, IJCNN 2008 (pp. 1279-1284). [4633963] https://doi.org/10.1109/IJCNN.2008.4633963

A neural network approach to ordinal regression. / Cheng, Jianlin; Wang, Zheng; Pollastri, Gianluca.

2008 International Joint Conference on Neural Networks, IJCNN 2008. 2008. p. 1279-1284 4633963.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Cheng, J, Wang, Z & Pollastri, G 2008, A neural network approach to ordinal regression. in 2008 International Joint Conference on Neural Networks, IJCNN 2008., 4633963, pp. 1279-1284, 2008 International Joint Conference on Neural Networks, IJCNN 2008, Hong Kong, China, 6/1/08. https://doi.org/10.1109/IJCNN.2008.4633963
Cheng J, Wang Z, Pollastri G. A neural network approach to ordinal regression. In 2008 International Joint Conference on Neural Networks, IJCNN 2008. 2008. p. 1279-1284. 4633963 https://doi.org/10.1109/IJCNN.2008.4633963
Cheng, Jianlin ; Wang, Zheng ; Pollastri, Gianluca. / A neural network approach to ordinal regression. 2008 International Joint Conference on Neural Networks, IJCNN 2008. 2008. pp. 1279-1284
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