DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lee, D | - |
dc.contributor.author | Jung, KH | - |
dc.contributor.author | Lee, J | - |
dc.date.accessioned | 2016-04-01T08:55:10Z | - |
dc.date.available | 2016-04-01T08:55:10Z | - |
dc.date.created | 2009-05-24 | - |
dc.date.issued | 2009-04 | - |
dc.identifier.issn | 1045-9227 | - |
dc.identifier.other | 2009-OAK-0000016451 | - |
dc.identifier.uri | https://oasis.postech.ac.kr/handle/2014.oak/29055 | - |
dc.description.abstract | In this brief, a novel method that constructs a sparse kernel machine is proposed. The proposed method generates attractors as sparse solutions from a built-in kernel machine via a dynamical system framework. By readjusting the corresponding coefficients and bias terms, a sparse kernel machine that approximates a conventional kernel machine is constructed. The simulation results show that the constructed sparse kernel machine improves the efficiency of testing phase while maintaining comparable test error. | - |
dc.description.statementofresponsibility | X | - |
dc.language | English | - |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGI | - |
dc.relation.isPartOf | IEEE TRANSACTIONS ON NEURAL NETWORKS | - |
dc.subject | Attractors | - |
dc.subject | dynamical systems | - |
dc.subject | kernel method | - |
dc.subject | sparse kernel machines | - |
dc.subject | support vector domain description (SVDD) | - |
dc.subject | support vector machine (SVM) | - |
dc.subject | VECTOR MACHINE | - |
dc.subject | CLASSIFICATION | - |
dc.title | CONSTRUCTING SPARSE KERNEL MACHINES USING ATTRACTORS | - |
dc.type | Article | - |
dc.contributor.college | 산업경영공학과 | - |
dc.identifier.doi | 10.1109/TNN.2009.201 | - |
dc.author.google | Lee, D | - |
dc.author.google | Jung, KH | - |
dc.author.google | Lee, J | - |
dc.relation.volume | 20 | - |
dc.relation.issue | 4 | - |
dc.relation.startpage | 721 | - |
dc.relation.lastpage | 729 | - |
dc.contributor.id | 10081901 | - |
dc.relation.journal | IEEE TRANSACTIONS ON NEURAL NETWORKS | - |
dc.relation.index | SCI급, SCOPUS 등재논문 | - |
dc.relation.sci | SCI | - |
dc.collections.name | Journal Papers | - |
dc.type.rims | ART | - |
dc.identifier.bibliographicCitation | IEEE TRANSACTIONS ON NEURAL NETWORKS, v.20, no.4, pp.721 - 729 | - |
dc.identifier.wosid | 000265376200014 | - |
dc.date.tcdate | 2019-02-01 | - |
dc.citation.endPage | 729 | - |
dc.citation.number | 4 | - |
dc.citation.startPage | 721 | - |
dc.citation.title | IEEE TRANSACTIONS ON NEURAL NETWORKS | - |
dc.citation.volume | 20 | - |
dc.contributor.affiliatedAuthor | Lee, J | - |
dc.identifier.scopusid | 2-s2.0-65149096404 | - |
dc.description.journalClass | 1 | - |
dc.description.journalClass | 1 | - |
dc.description.wostc | 20 | - |
dc.type.docType | Article | - |
dc.subject.keywordAuthor | Attractors | - |
dc.subject.keywordAuthor | dynamical systems | - |
dc.subject.keywordAuthor | kernel method | - |
dc.subject.keywordAuthor | sparse kernel machines | - |
dc.subject.keywordAuthor | support vector domain description (SVDD) | - |
dc.subject.keywordAuthor | support vector machine (SVM) | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Artificial Intelligence | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Hardware & Architecture | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Theory & Methods | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalResearchArea | Engineering | - |
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