Jagiellonian University Repository

SVM with a neutral class

SVM with a neutral class

Show full item record

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


Files in this item

This item appears in the following Collection(s)

Udzielam licencji. Uznanie autorstwa 4.0 Międzynarodowa Except where otherwise noted, this item's license is described as Udzielam licencji. Uznanie autorstwa 4.0 Międzynarodowa