DC Field | Value | Language |
---|---|---|
dc.contributor.author | Heo, H | - |
dc.contributor.author | Park, H | - |
dc.contributor.author | Kim, N | - |
dc.contributor.author | Lee, J | - |
dc.date.accessioned | 2017-07-18T16:50:53Z | - |
dc.date.available | 2017-07-18T16:50:53Z | - |
dc.date.created | 2010-11-22 | - |
dc.date.issued | 2009-12 | - |
dc.identifier.issn | 0925-2312 | - |
dc.identifier.uri | https://oasis.postech.ac.kr/handle/2014.oak/31011 | - |
dc.description.abstract | Many credit data classification problems require label predictions only for a given unlabeled test set. Since the number of an available unlabeled test data set is much larger than a labeled data set, it is desirable to build a predictive model in a transductive setting that takes advantage of the unlabeled data as well as labeled data. This paper proposes a localized transduction based multi-layer perceptron (MLP) methodology to build a better classifier. We provide a practical framework for our methodology. Simulations on real credit delinquents detection problems are conducted to test the proposed method with a promising result. © 2009 Elsevier B.V. All rights reserved. | - |
dc.language | English | - |
dc.publisher | ELSEVIER SCIENCE BV | - |
dc.relation.isPartOf | NEUROCOMPUTING | - |
dc.title | Prediction of credit delinquents using locally transductive multi-layer perceptron | - |
dc.type | Article | - |
dc.identifier.doi | 10.1016/j.neucom.2009.02.025 | - |
dc.type.rims | ART | - |
dc.identifier.bibliographicCitation | NEUROCOMPUTING, v.73, no.1-3, pp.169 - 175 | - |
dc.identifier.wosid | 000272607000021 | - |
dc.date.tcdate | 2019-03-01 | - |
dc.citation.endPage | 175 | - |
dc.citation.number | 1-3 | - |
dc.citation.startPage | 169 | - |
dc.citation.title | NEUROCOMPUTING | - |
dc.citation.volume | 73 | - |
dc.contributor.affiliatedAuthor | Lee, J | - |
dc.identifier.scopusid | 2-s2.0-70350728673 | - |
dc.description.journalClass | 1 | - |
dc.description.journalClass | 1 | - |
dc.description.wostc | 4 | - |
dc.description.isOpenAccess | N | - |
dc.type.docType | Article; Proceedings Paper | - |
dc.subject.keywordAuthor | Credit problem | - |
dc.subject.keywordAuthor | Delinquent detection | - |
dc.subject.keywordAuthor | Transduction | - |
dc.subject.keywordAuthor | Multi-layer perceptron | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Artificial Intelligence | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.
library@postech.ac.kr Tel: 054-279-2548
Copyrights © by 2017 Pohang University of Science ad Technology All right reserved.