SVM with a neutral class

doi:10.1007/s10044-017-0654-3

SVM with a neutral class

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SVM with a neutral class

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dc.contributor.author	Śmieja, Marek [SAP14005333]	pl
dc.contributor.author	Tabor, Jacek [SAP11017416]	pl
dc.contributor.author	Spurek, Przemysław [SAP14004607]	pl
dc.date.accessioned	2019-08-28T07:58:51Z
dc.date.available	2019-08-28T07:58:51Z
dc.date.issued	2019	pl
dc.identifier.issn	1433-7541	pl
dc.identifier.uri	https://ruj.uj.edu.pl/xmlui/handle/item/81390
dc.language	eng	pl
dc.rights	Udzielam licencji. Uznanie autorstwa 4.0 Międzynarodowa	*
dc.rights.uri	http://creativecommons.org/licenses/by/4.0/pl/legalcode	*
dc.title	SVM with a neutral class	pl
dc.type	JournalArticle	pl
dc.description.physical	573-582	pl
dc.abstract.en	In many real binary classification problems, in addition to the presence of positive and negative classes, we are also given the examples of third neutral class, i.e., the examples with uncertain or intermediate state between positive and negative. Although it is a common practice to ignore the neutral class in a learning process, its appropriate use can lead to the improvement in classification accuracy. In this paper, to include neutral examples in a training stage, we adapt two variants of Tri-Class SVM (proposed by Angulo et al. in Neural Process Lett 23(1):89–101, 2006), the method designed to solve three-class problems with a use of single learning model. In analogy to classical SVM, we look for such a hyperplane, which maximizes the margin between positive and negative instances and which is localized as close to the neutral class as possible. In addition to original Angulo’s paper, we give a new interpretation of the model and show that it can be easily implemented in the primal. Our experiments demonstrate that considered methods obtain better results in binary classification problems than classical SVM and semi-supervised SVM.	pl
dc.subject.en	classification	pl
dc.subject.en	SVM	pl
dc.subject.en	semi-supervised learning	pl
dc.subject.en	cheminformatics	pl
dc.description.volume	22	pl
dc.description.number	2	pl
dc.identifier.doi	10.1007/s10044-017-0654-3	pl
dc.identifier.eissn	1433-755X	pl
dc.title.journal	Pattern Analysis and Applications	pl
dc.language.container	eng	pl
dc.affiliation	Wydział Matematyki i Informatyki : Instytut Informatyki i Matematyki Komputerowej	pl
dc.subtype	Article	pl
dc.rights.original	CC-BY; inne; ostateczna wersja wydawcy; w momencie opublikowania; 0	pl
dc.identifier.project	2016/21/D/ST6/00980	pl
dc.identifier.project	2015/19/B/ST6/01819	pl
dc.identifier.project	2015/19/D/ST6/01472	pl
dc.identifier.project	ROD UJ / OP	pl
.pointsMNiSW	[2019 A]: 70