Ordinal classification using Pareto fronts

被引:4
作者
Stenina, M. M. [1 ]
Kuznetsov, M. P. [1 ]
Strijov, V. V. [1 ]
机构
[1] Moscow Inst Phys & Technol, Dolgoprudnyi 141700, Moscow, Russia
基金
俄罗斯基础研究基金会;
关键词
Ordinal classification; Pareto front; Expert estimations; Binary relation;
D O I
10.1016/j.eswa.2015.03.021
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The paper presents an ordinal classification method using Pareto fronts. An object is described by a set of ordinal features assigned by experts. We describe the class boundaries by the set of Pareto fronts. We propose to predict the object class using the nearest Pareto front boundary. The proposed method is illustrated by a real-world application to the International Union for Conservation of Nature Red List species categorization. (C) 2015 Elsevier Ltd. All rights reserved.
引用
收藏
页码:5947 / 5953
页数:7
相关论文
共 13 条
[1]  
[Anonymous], 2003, Journal of machine learning research
[2]  
[Anonymous], 2007, Proc. 30th Annu. Int. ACM SIGIR Conf. Res. Dev. Inf. Retrieval
[3]  
[Anonymous], 2008, Proceedings of International Conference on Machine Learning, DOI [10.1145/1390156.1390306, DOI 10.1145/1390156.1390306]
[4]  
Ben-David A., 1989, Computational Intelligence, V5, P45, DOI 10.1111/j.1467-8640.1989.tb00314.x
[5]   Support vector ordinal regression [J].
Chu, Wei ;
Keerthi, S. Sathiya .
NEURAL COMPUTATION, 2007, 19 (03) :792-815
[6]  
Duivesteijn W, 2008, LECT NOTES ARTIF INT, V5211, P301, DOI 10.1007/978-3-540-87479-9_38
[7]  
Frank E., 2001, A simple approach to ordinal classification
[8]  
Fürnkranz J, 2003, LECT NOTES ARTIF INT, V2837, P145
[9]  
Har-Peled S., 2003, NIPS, P785
[10]  
Kotlowski Wojciech., 2009, Proceedings of the 26th Annual International Conference on Machine Learning, P537, DOI 10.1145/1553374.1553444Learning