A neural network approach to ordinal regression

Jianlin Cheng, Zheng Wang, Gianluca Pollastri

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

46 Scopus citations

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

Publication series

NameProceedings of the International Joint Conference on Neural Networks

Other

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

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence

Fingerprint Dive into the research topics of 'A neural network approach to ordinal regression'. Together they form a unique fingerprint.

  • 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] (Proceedings of the International Joint Conference on Neural Networks). https://doi.org/10.1109/IJCNN.2008.4633963