{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T06:43:33Z","timestamp":1740120213615,"version":"3.37.3"},"reference-count":27,"publisher":"World Scientific Pub Co Pte Ltd","issue":"09","funder":[{"name":"S\u00e3o Paulo State Research Foundation"},{"DOI":"10.13039\/501100002322","name":"Coordination for the Improvement of Higher Education Personnel","doi-asserted-by":"crossref","id":[{"id":"10.13039\/501100002322","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Brazilian National Research Council"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Patt. Recogn. Artif. Intell."],"published-print":{"date-parts":[[2016,11]]},"abstract":"<jats:p> We present a biologically inspired model for transductive semi-supervised learning tasks. Specifically, this model consists of a set of particles that walk and compete in a complex network. From an input dataset, similarities between labeled and unlabeled data points derive a network representation. As particles walk the network, they compete to dominate the edges. Over the process, particles can become inactive, and, to compensate, labeled vertices will feed new particles to the system. Resulted from the model simulation, we analyze sets of edges arranged by their label dominance. Each set forms a subnetwork that is used to classify connected vertices. Our computer simulations on artificial and real datasets show that this technique can classify nonlinearly formed data and detect vertices of different classes in overlapping regions. <\/jats:p>","DOI":"10.1142\/s0218001416600065","type":"journal-article","created":{"date-parts":[[2016,6,7]],"date-time":"2016-06-07T00:07:00Z","timestamp":1465258020000},"page":"1660006","source":"Crossref","is-referenced-by-count":0,"title":["Semi-Supervised Classification by Particle Competition in Complex Network\u2019s Edges"],"prefix":"10.1142","volume":"30","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6983-4017","authenticated-orcid":false,"given":"Paulo Roberto","family":"Urio","sequence":"first","affiliation":[{"name":"Institute of Mathematical and Computer Sciences, University of S\u00e3o Paulo, S\u00e3o Carlos, SP, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Filipe Alves Neto","family":"Verri","sequence":"additional","affiliation":[{"name":"Institute of Mathematical and Computer Sciences, University of S\u00e3o Paulo, S\u00e3o Carlos, SP, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Liang","family":"Zhao","sequence":"additional","affiliation":[{"name":"Ribeir\u00e3o Preto School of Philosophy, Science and Literature, University of S\u00e3o Paulo, Ribeir\u00e3o Preto, SP, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2016,11,22]]},"reference":[{"key":"S0218001416600065BIB001","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511791383"},{"key":"S0218001416600065BIB002","doi-asserted-by":"publisher","DOI":"10.1162\/089976603321780317"},{"key":"S0218001416600065BIB003","first-page":"2399","volume":"7","author":"Belkin M.","year":"2006","journal-title":"J. Mach. Learn. Res."},{"volume-title":"Pattern Recognition and Machine Learning (Information Science and Statistics)","year":"2006","author":"Bishop C. M.","key":"S0218001416600065BIB004"},{"key":"S0218001416600065BIB006","doi-asserted-by":"publisher","DOI":"10.1016\/j.physrep.2005.10.009"},{"key":"S0218001416600065BIB007","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2011.119"},{"key":"S0218001416600065BIB008","doi-asserted-by":"publisher","DOI":"10.7551\/mitpress\/9780262033589.001.0001"},{"key":"S0218001416600065BIB009","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2014.2308325"},{"key":"S0218001416600065BIB012","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.77.036111"},{"key":"S0218001416600065BIB014","volume-title":"Nonparametric Statistical Methods","author":"Hollander M.","year":"1999","edition":"2"},{"key":"S0218001416600065BIB015","doi-asserted-by":"publisher","DOI":"10.1155\/2014\/404375"},{"key":"S0218001416600065BIB016","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2015.2398435"},{"key":"S0218001416600065BIB017","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2014.2329567"},{"key":"S0218001416600065BIB018","volume-title":"Machine Learning","author":"Mitchell T. M.","year":"1997","edition":"1"},{"key":"S0218001416600065BIB019","doi-asserted-by":"publisher","DOI":"10.1093\/acprof:oso\/9780199206650.001.0001"},{"key":"S0218001416600065BIB020","doi-asserted-by":"publisher","DOI":"10.1023\/A:1007692713085"},{"key":"S0218001416600065BIB021","doi-asserted-by":"publisher","DOI":"10.1126\/science.290.5500.2323"},{"key":"S0218001416600065BIB022","volume-title":"Artificial Intelligence: A Modern Approach","author":"Russell S.","year":"2009","edition":"3"},{"key":"S0218001416600065BIB024","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2011.04.042"},{"key":"S0218001416600065BIB025","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2011.2181413"},{"key":"S0218001416600065BIB026","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2012.11.048"},{"volume-title":"Statitical Learning Theory","year":"1998","author":"Vapnik V. N.","key":"S0218001416600065BIB028"},{"key":"S0218001416600065BIB030","first-page":"1","volume":"9219","author":"Xu Y.","year":"2014","journal-title":"IEEE Trans. Parall. Distr. Syst."},{"key":"S0218001416600065BIB031","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2014.02.122"},{"key":"S0218001416600065BIB032","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2014.2315526"},{"key":"S0218001416600065BIB033","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2005.186"},{"key":"S0218001416600065BIB035","doi-asserted-by":"crossref","unstructured":"X. Zhu and  A. B. Goldberg,  Introduction to semi-supervised learning,  Synthesis Lectures on Artificial Intelligence and Machine Learning  (Morgan and Claypool Publishers, 2009), pp. 1\u2013130.","DOI":"10.2200\/S00196ED1V01Y200906AIM006"}],"container-title":["International Journal of Pattern Recognition and Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S0218001416600065","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,6]],"date-time":"2019-08-06T09:11:17Z","timestamp":1565082677000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S0218001416600065"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,11]]},"references-count":27,"journal-issue":{"issue":"09","published-online":{"date-parts":[[2016,11,22]]},"published-print":{"date-parts":[[2016,11]]}},"alternative-id":["10.1142\/S0218001416600065"],"URL":"https:\/\/doi.org\/10.1142\/s0218001416600065","relation":{},"ISSN":["0218-0014","1793-6381"],"issn-type":[{"type":"print","value":"0218-0014"},{"type":"electronic","value":"1793-6381"}],"subject":[],"published":{"date-parts":[[2016,11]]}}}