An Improved Twin Support Vector Regression with Automatic Margin Determination
In this paper, a novel regression algorithm named ν-twin support vector regression (ν-TSVR) is presented, improving upon the recently proposed twin support vector regression (TSVR). It also tries to seek two nonparallel down- and up-bounds for the unknown function. By treating the size of one-sided...
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Format: | EJournal Article |
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Institute of Advanced Engineering and Science,
2013-01-10.
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LEADER | 02096 am a22003133u 4500 | ||
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001 | ijeecs1960_800 | ||
042 | |a dc | ||
100 | 1 | 0 | |a Jun, LIANG |e author |
100 | 1 | 0 | |e contributor |
700 | 1 | 0 | |a Zhi-qiang, SHA |e author |
700 | 1 | 0 | |a Ying-wen, REN |e author |
700 | 1 | 0 | |a Ao-xue, LI |e author |
700 | 1 | 0 | |a Long, CHEN |e author |
245 | 0 | 0 | |a An Improved Twin Support Vector Regression with Automatic Margin Determination |
260 | |b Institute of Advanced Engineering and Science, |c 2013-01-10. | ||
520 | |a In this paper, a novel regression algorithm named ν-twin support vector regression (ν-TSVR) is presented, improving upon the recently proposed twin support vector regression (TSVR). It also tries to seek two nonparallel down- and up-bounds for the unknown function. By treating the size of one-sided -insensitive tube as optimization variables with corresponding parameters s, we reformulate the original TSVR as a more sensible model. To this end, ν-TSVR has the advantage that s are learned simultaneously with regressor. Meantime, we give a theoretical result concerning the meaning of s. Moreover, by introducing structural risk minimization principle, the over-fitting phenomenon in TSVR can be avoided. We analyze the algorithm theoretically and demonstrate its effectiveness via the experimental results on several artificial and benchmark datasets. DOI: http://dx.doi.org/10.11591/telkomnika.v11i1.1895 | ||
540 | |a Copyright (c) 2013 Institute of Advanced Engineering and Science | ||
540 | |a http://creativecommons.org/licenses/by-nc-nd/4.0 | ||
546 | |a eng | ||
690 | |||
655 | 7 | |a info:eu-repo/semantics/article |2 local | |
655 | 7 | |a info:eu-repo/semantics/publishedVersion |2 local | |
655 | 7 | |2 local | |
786 | 0 | |n Indonesian Journal of Electrical Engineering and Computer Science; Vol 11, No 1: January 2013; 258-269 | |
786 | 0 | |n 2502-4760 | |
786 | 0 | |n 2502-4752 | |
786 | 0 | |n 10.11591/ijeecs.v11.i1 | |
787 | 0 | |n https://ijeecs.iaescore.com/index.php/IJEECS/article/view/1960/800 | |
856 | 4 | 1 | |u https://ijeecs.iaescore.com/index.php/IJEECS/article/view/1960/800 |z Get fulltext |