A weighted twin support vector regression

Knowledge-Based Systems

Volumn 33, Issue , 2012, Pages 92-101

  Xu, Yitian ^a   Wang, Laisheng ^a  

^a CHINA AGRICULTURAL UNIVERSITY   (China)

Author keywords

SVR; TSVR; Up and down bound functions; Weighted coefficient; Weighted TSVR

Indexed keywords

BENCHMARK DATASETS; BOUND FUNCTION; DATA SETS; DIFFERENT EFFECTS; GENERALIZATION ABILITY; NUMERICAL EXPERIMENTS; OVERFITTING; QUADRATIC PROGRAMMING PROBLEMS; REGRESSION ALGORITHMS; SUPPORT VECTOR REGRESSION (SVR); SVR; TSVR; WEIGHTED COEFFICIENT; WEIGHTED TSVR;

ALGORITHMS;

REGRESSION ANALYSIS;

EID: 84861589024     PISSN: 09507051     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.knosys.2012.03.013     Document Type: Article

References (19)

1. S. Asharaf, S. Shevade, and M.N. Murty Rough support vector clustering Pattern Recognition 38 2005 1779 1783
2. G. Fung, and O. Mangasarian Proximal support vector machine classifiers In Seven International Proceedings on Knowledge Discovery and Data Mining 2001 77 86
3. G. Fung, and O. Mangasarian Multicategory proximal support vector machine classifiers Machine Learning 59 2005 77 97
4. S. Ghorai, A. Mukherjee, and P. Dutta Nonparallel plane proximal classifier Signal Processing 89 4 2009 510 522
5. Jayadeva, R. Khemchandani, and S. Chandra Twin support vector machines for pattern classification IEEE Transactions on Pattern Analysis and Machine Intelligence 29 5 2007 905 910
6. Jayadeva, R. Khemchandani, and S. Chandra Fuzzy multi-category proximal support vector classification via generalized eigenvalues Soft Computing 11 7 2007 679 685
7. M. Kumar, and M. Gopal Least squares twin support vector machines for pattern classification Expert Systems with Applications 36 4 2009 7535 7543
8. R. Khemchandani, Jayadeva, and S. Chandra Optimal kernel selection in twin support vector machines Optimization Letters 3 1 2009 77 88
9. R. Khemchandani, Jayadeva, and S. Chandra Fuzzy twin support vector machines for pattern classification S. Neogy, R. Bapat, A. Das, T. Parthasarathy, Mathematical Programming and Game Theory for Decision Making 2008 World Scientific Singapore 31 142
10. F. Lin, C. Yeh, and M. Lee The use of hybrid manifold learning and support vector machines in the prediction of business failure Knowledge-Based Systems 24 1 2011 95 101
11. S. Li, H. Wu, and D. Wan An effective feature selection method for hyperspectral image classification based on genetic algorithm and support vector machine Knowledge-Based Systems 24 1 2011 40 48
12. X. Peng A ν twin support vector machine (ν-TSVM) classifier and its geometric algorithms Information Sciences 180 20 2010 3863 3875
13. X. Peng TSVR: an efficient twin support vector machine for regression Neural Networks. 23 3 2010 365 372
14. B. Ripley Pattern Recognition and Neural Networks 1996 Cambridge University Press Cambridge
15. V. Vapnik The Nature of Statistical Learning Theory 1995 Springer New York
16. Y. Xu, L. Wang, and P. Zhong A rough margin-based ν-twin support vector machine Neural Computing and Applications 2011 http://dx.doi.org/10.1007/ s00521-011-0565-y
17. Y. Xu A rough margin-based linear support vector regression Statistics and Probability Letters 82 3 2012 528 534
18. W. Zhang, T. Yoshida, and X. Tang Text classification based on multi-word with support vector machine Knowledge-Based Systems 21 8 2008 879 886
19. J. Zhang, and Y. Wang A rough margin based support vector machine Information Sciences 178 9 2008 2204 2214