Linear Separability: Quasisecant Method and Application To Semi-Supervised Data Classification
| dc.contributor.author | Ordin B. | |
| dc.contributor.author | Uylaş N. | |
| dc.date.accessioned | 2023-06-16T15:06:32Z | |
| dc.date.available | 2023-06-16T15:06:32Z | |
| dc.date.issued | 2010 | |
| dc.description | 24th Mini EURO Conference on Continuous Optimization and Information-Based Technologies in the Financial Sector, MEC EurOPT 2010 -- 23 June 2010 through 26 June 2010 -- Izmir -- 106702 | en_US |
| dc.description.abstract | In this paper we have proposed a semi-supervised algorithm based on quasisecant optimization method for solving data classification problems. The algorithm computes hyperplane(s) to separate two sets with respect to some tolerance. An error function is formulated and an algorithm for its minimization is expressed. We present results of numerical experiments using several UCI test data sets and compare the proposed algorithm with two supervised data classification algorithm (linear separability, max-min separability) and two support vector machine solvers (LIBSVM and SVM-light). © Izmir University of Economics, Turkey, 2010. | en_US |
| dc.identifier.isbn | 9.79E+12 | |
| dc.identifier.scopus | 2-s2.0-84905454918 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14365/3975 | |
| dc.language.iso | en | en_US |
| dc.publisher | Vilnius Gediminas Technical University | en_US |
| dc.relation.ispartof | 24th Mini EURO Conference on Continuous Optimization and Information-Based Technologies in the Financial Sector, MEC EurOPT 2010 | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.subject | Nonsmooth optimization | en_US |
| dc.subject | Quasisecant method | en_US |
| dc.subject | Semi-supervised data classification | en_US |
| dc.subject | Algorithms | en_US |
| dc.subject | Optimization | en_US |
| dc.subject | Support vector machines | en_US |
| dc.subject | Data classification | en_US |
| dc.subject | Data classification problems | en_US |
| dc.subject | Linear separability | en_US |
| dc.subject | Nonsmooth optimization | en_US |
| dc.subject | Numerical experiments | en_US |
| dc.subject | Optimization method | en_US |
| dc.subject | Quasisecant method | en_US |
| dc.subject | Semi-supervised algorithm | en_US |
| dc.subject | Classification (of information) | en_US |
| dc.title | Linear Separability: Quasisecant Method and Application To Semi-Supervised Data Classification | en_US |
| dc.type | Conference Object | en_US |
| dspace.entity.type | Publication | |
| gdc.author.scopusid | 35107735000 | |
| gdc.coar.access | metadata only access | |
| gdc.coar.type | text::conference output | |
| gdc.description.departmenttemp | Ordin, B., Mathematics Department, Faculty of Art and Sciences, Ege University, Turkey; Uylaş, N., Industrial System Engineering Department, Faculty of Computer Sciences, Izmir University of Economics, Turkey | en_US |
| gdc.description.endpage | 269 | en_US |
| gdc.description.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
| gdc.description.scopusquality | N/A | |
| gdc.description.startpage | 264 | en_US |
| gdc.description.wosquality | N/A | |
| gdc.index.type | Scopus | |
| gdc.scopus.citedcount | 0 | |
| relation.isOrgUnitOfPublication | e9e77e3e-bc94-40a7-9b24-b807b2cd0319 | |
| relation.isOrgUnitOfPublication.latestForDiscovery | e9e77e3e-bc94-40a7-9b24-b807b2cd0319 |
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