Ensemble learning algorithm in classification of fuzzy-classes

Journal of Computational Information Systems

Volumn 9, Issue 22, 2013, Pages 8929-8938

  Fu, Zhongliang ^a,b   Zhang, Danpu ^a,b   Wang, Lili ^a,b   Li, Xin ^a,b  

^a CHENGDU INSTITUTE OF COMPUTER APPLICATIONS   (China)

^b UNIVERSITY OF CHINESE ACADEMY OF SCIENCES   (China)

Author keywords

Cost sensitive; Fuzzy class; Fuzzy classification; Real AdaBoost

Indexed keywords

ADABOOST ALGORITHM; BOOSTING ALGORITHM; CONSTRUCTION PROCESS; COST-SENSITIVE; ENSEMBLE LEARNING ALGORITHM; FUZZY CLASS; FUZZY CLASSIFICATION; WEAK CLASSIFIERS;

ADAPTIVE BOOSTING;

ALGORITHMS;

EID: 84889248780     PISSN: 15539105     EISSN: None     Source Type: Journal    
DOI: 10.12733/jcis7395     Document Type: Article

References (14)

1. R. E. Schapire, Y. Singer. Improved boosting algorithms using confidence-rated predictions. Machine Learning, 1999, 37 (3): 297-336.
2. S. Z. Ye, B. Zhang, M. R. Wu, et al. A fuzzy classifier based on the constructive covering approach in neural networks. Journal of Software, 2003, 14 (3): 429-434 (in Chinese).
3. A. Yang. The model research on fuzzy classification. Shanghai: Fudan University, 2005 (in Chinese).
4. Y. Freund, R. E. Schapire. A decision-theoretic generalization of on-line learning and an application to boosting. Journal of Computer and System Sciences, 1997, 55 (1): 119-139.
5. Z. L. Fu. Effictive property and best combination of classifiers linear combination. Journal of Computer Research and Development, 2009, 46 (7): 1206-1216 (in Chinese).
6. Z. L. Fu, X. H. Zhao. Dynamic combination method of classifiers and ensemble learning algorithms based on classifiers Combination. Journal of Sichuan University (Engineering science edition), 2011, 43 (2): 58-65 (in Chinese).
7. J. Zhu, S. Rosset, H. Zou, et al. Multi-class AdaBoost. Statistics and Its Interface, 2009 (2): 349-360.
8. M. R. Boutell, J. Luo, X. P. Shen, et al. Learning multi-label scene classification. Pattern Recognition, 2004, 37: 1757-1771.
9. Z. H. Zhou, M. L. Zhang. Multi-instance multi-label learning with application to scene classification. Advances in Neural Information Processing Systems 19. Cambridge, MA: MIT, 2007, pp. 1609-1616.
10. K. M. Ting, Z. Zheng. Boosting cost-sensitive trees. Proc of the 1st International Conf on Discovery Science. London: Springer, 1998, pp. 244-255.
11. C. X. Ling, V. S. Sheng. A comparative study of cost-sensitive classifiers. Chinese Journal of Computers, 2007, 30 (8): 1203-1211.
12. Z. L. Fu. An ensemble learning algorithm for direction prediction. Shanghai Jiaotong University (Science edition), 2012, 46 (2): 250-058 (in Chinese).
13. Z. L. Fu. Cost-sensitive AdaBoost algorithm for multi-class classification problems. Acta Automatica Sinica, 2011, 37 (8): 973-983 (in Chinese).
14. C. Blake, E. Keogh, C. Merz. UCI repository of machine learning databases. Irvine, CA, University of California, Dept. of Computer Science, 1998.