Perceptron Ranking Using Interval Labels with Ramp Loss for Online Ordinal Regression
Joint Authors
Zhang, Cuiqing
Zhang, Maojun
Liang, Xijun
Xia, Zhonghang
Nan, Jiangxia
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-12-02
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
Due to its wide applications and learning efficiency, online ordinal regression using perceptron algorithms with interval labels (PRIL) has been increasingly applied to solve ordinal ranking problems.
However, it is still a challenge for the PRIL method to handle noise labels, in which case the ranking results may change dramatically.
To tackle this problem, in this paper, we propose noise-resilient online learning algorithms using ramp loss function, called PRIL-RAMP, and its nonlinear variant K-PRIL-RAMP, to improve the performance of PRIL method for noisy data streams.
The proposed algorithms iteratively optimize the decision function under the framework of online gradient descent (OGD), and we justify the algorithms by showing the order preservation of thresholds.
It is validated in the experiments that both approaches are more robust and efficient to noise labels than state-of-the-art online ordinal regression algorithms on real-world datasets.
American Psychological Association (APA)
Zhang, Cuiqing& Zhang, Maojun& Liang, Xijun& Xia, Zhonghang& Nan, Jiangxia. 2020. Perceptron Ranking Using Interval Labels with Ramp Loss for Online Ordinal Regression. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-15.
https://search.emarefa.net/detail/BIM-1201778
Modern Language Association (MLA)
Zhang, Cuiqing…[et al.]. Perceptron Ranking Using Interval Labels with Ramp Loss for Online Ordinal Regression. Mathematical Problems in Engineering No. 2020 (2020), pp.1-15.
https://search.emarefa.net/detail/BIM-1201778
American Medical Association (AMA)
Zhang, Cuiqing& Zhang, Maojun& Liang, Xijun& Xia, Zhonghang& Nan, Jiangxia. Perceptron Ranking Using Interval Labels with Ramp Loss for Online Ordinal Regression. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-15.
https://search.emarefa.net/detail/BIM-1201778
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1201778