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DC Field | Value | Language |
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dc.contributor.author | Breve, Fabricio Aparecido | - |
dc.contributor.author | Zhao, Liang | - |
dc.contributor.author | Quiles, Marcos | - |
dc.contributor.author | Pedrycz, Witold | - |
dc.contributor.author | Liu, Jiming | - |
dc.date.accessioned | 2013-09-30T18:50:25Z | - |
dc.date.accessioned | 2014-05-20T14:16:18Z | - |
dc.date.accessioned | 2016-10-25T17:39:26Z | - |
dc.date.available | 2013-09-30T18:50:25Z | - |
dc.date.available | 2014-05-20T14:16:18Z | - |
dc.date.available | 2016-10-25T17:39:26Z | - |
dc.date.issued | 2012-09-01 | - |
dc.identifier | http://dx.doi.org/10.1109/TKDE.2011.119 | - |
dc.identifier.citation | IEEE Transactions on Knowledge and Data Engineering. Los Alamitos: IEEE Computer Soc, v. 24, n. 9, p. 1686-1698, 2012. | - |
dc.identifier.issn | 1041-4347 | - |
dc.identifier.uri | http://hdl.handle.net/11449/24904 | - |
dc.identifier.uri | http://acervodigital.unesp.br/handle/11449/24904 | - |
dc.description.abstract | Semi-supervised learning is one of the important topics in machine learning, concerning with pattern classification where only a small subset of data is labeled. In this paper, a new network-based (or graph-based) semi-supervised classification model is proposed. It employs a combined random-greedy walk of particles, with competition and cooperation mechanisms, to propagate class labels to the whole network. Due to the competition mechanism, the proposed model has a local label spreading fashion, i.e., each particle only visits a portion of nodes potentially belonging to it, while it is not allowed to visit those nodes definitely occupied by particles of other classes. In this way, a divide-and-conquer effect is naturally embedded in the model. As a result, the proposed model can achieve a good classification rate while exhibiting low computational complexity order in comparison to other network-based semi-supervised algorithms. Computer simulations carried out for synthetic and real-world data sets provide a numeric quantification of the performance of the method. | en |
dc.description.sponsorship | Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) | - |
dc.description.sponsorship | Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) | - |
dc.format.extent | 1686-1698 | - |
dc.language.iso | eng | - |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE), Computer Soc | - |
dc.source | Web of Science | - |
dc.subject | Semi-supervised learning | en |
dc.subject | particles competition and cooperation | en |
dc.subject | network-based methods | en |
dc.subject | label propagation | en |
dc.title | Particle Competition and Cooperation in Networks for Semi-Supervised Learning | en |
dc.type | outro | - |
dc.contributor.institution | Universidade de São Paulo (USP) | - |
dc.contributor.institution | Universidade Estadual Paulista (UNESP) | - |
dc.contributor.institution | Univ Alberta | - |
dc.contributor.institution | Polish Acad Sci | - |
dc.contributor.institution | Hong Kong Baptist Univ | - |
dc.description.affiliation | Univ São Paulo, Dept Computat, Inst Math & Comp Sci, BR-13566590 São Carlos, SP, Brazil | - |
dc.description.affiliation | São Paulo State Univ UNESP, Dept Stat Appl Math & Computat DEMAC, Inst Geosci & Exact Sci IGCE, BR-13506900 Rio Claro, SP, Brazil | - |
dc.description.affiliation | Fed Univ São Paulo Unifesp, Dept Sci & Technol DCT, BR-12231280 Sao Jose Dos Campos, SP, Brazil | - |
dc.description.affiliation | Univ Alberta, Dept Elect & Comp Engn, Edmonton, AB T6R 2V4, Canada | - |
dc.description.affiliation | Polish Acad Sci, Syst Res Inst, PL-01447 Warsaw, Poland | - |
dc.description.affiliation | Hong Kong Baptist Univ, Dept Comp Sci, Kowloon, Hong Kong, Peoples R China | - |
dc.description.affiliationUnesp | São Paulo State Univ UNESP, Dept Stat Appl Math & Computat DEMAC, Inst Geosci & Exact Sci IGCE, BR-13506900 Rio Claro, SP, Brazil | - |
dc.identifier.doi | 10.1109/TKDE.2011.119 | - |
dc.identifier.wos | WOS:000306557800011 | - |
dc.rights.accessRights | Acesso restrito | - |
dc.relation.ispartof | IEEE Transactions on Knowledge and Data Engineering | - |
dc.identifier.orcid | 0000-0002-1123-9784 | pt |
Appears in Collections: | Artigos, TCCs, Teses e Dissertações da Unesp |
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