Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/151223
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dc.contributor.authorTanveer M.en_US
dc.contributor.authorSharma A.en_US
dc.contributor.authorSuganthan, Ponnuthurai Nagaratnamen_US
dc.date.accessioned2021-06-17T02:54:14Z-
dc.date.available2021-06-17T02:54:14Z-
dc.date.issued2019-
dc.identifier.citationTanveer M., Sharma A. & Suganthan, P. N. (2019). General twin support vector machine with pinball loss function. Information Sciences, 494, 311-327. https://dx.doi.org/10.1016/j.ins.2019.04.032en_US
dc.identifier.issn0020-0255en_US
dc.identifier.other0000-0002-5727-3697-
dc.identifier.other0000-0003-0901-5105-
dc.identifier.urihttps://hdl.handle.net/10356/151223-
dc.description.abstractThe standard twin support vector machine (TSVM) uses the hinge loss function which leads to noise sensitivity and instability. In this paper, we propose a novel general twin support vector machine with pinball loss (Pin-GTSVM) for solving classification problems. We show that the proposed Pin-GTSVM is noise insensitive and more stable for re-sampling. Further, the computational complexity of the proposed Pin-GTSVM is similar to that of the TSVM. Thus, the pinball loss function does not increase the computation time of the proposed Pin-GTSVM. Numerical experiments with different noise are performed on 17 UCI and KEEL benchmark real-world datasets and the results are compared with other baseline methods. The comparisons clearly show that the proposed Pin-GTSVM has better generalization performance for noise corrupted datasets.en_US
dc.language.isoenen_US
dc.relation.ispartofInformation Sciencesen_US
dc.rights© 2019 Elsevier Inc. All rights reserved.en_US
dc.subjectEngineering::Electrical and electronic engineeringen_US
dc.titleGeneral twin support vector machine with pinball loss functionen_US
dc.typeJournal Articleen
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.identifier.doi10.1016/j.ins.2019.04.032-
dc.identifier.scopus2-s2.0-85065139630-
dc.identifier.volume494en_US
dc.identifier.spage311en_US
dc.identifier.epage327en_US
dc.subject.keywordsHinge Lossen_US
dc.subject.keywordsPinball Lossen_US
dc.description.acknowledgementThis work is supported by Science and Engineering Research Board (SERB), Government of India under Early Career Research Award Scheme, Grant No. ECR/2017/000053 and Council of Scientific & Industrial Research (CSIR), New Delhi, INDIA under Extra Mural Research (EMR) Scheme Grant No. 22(0751)/17/EMR-II. We gratefully acknowledge the Indian Institute of Technology Indore for providing facilities and support.en_US
item.grantfulltextnone-
item.fulltextNo Fulltext-
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