{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,4,1]],"date-time":"2022-04-01T22:47:38Z","timestamp":1648853258067},"reference-count":16,"publisher":"World Scientific Pub Co Pte Lt","issue":"01","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Comp. Intel. Appl."],"published-print":{"date-parts":[[2009,3]]},"abstract":"<jats:p> Support Vector Machines were originally proposed to solve two-class classification problems. When they are applied to multiclass classification problems, usually a decomposition approach is followed, in which the original multiclass problem is decomposed into multiple binary sub-problems, whose solutions are afterwards combined. There are several strategies to decompose the multiclass problem. Genetic Algorithms (GAs) can be used to optimize the decomposition according to the performance obtained in the overall multiclass problem solution. This paper presents a study on possible evaluation functions that can be used by the GA in order to evaluate a given decomposition. <\/jats:p>","DOI":"10.1142\/s146902680900245x","type":"journal-article","created":{"date-parts":[[2009,4,14]],"date-time":"2009-04-14T06:33:05Z","timestamp":1239690785000},"page":"53-68","source":"Crossref","is-referenced-by-count":2,"title":["EVALUATION FUNCTIONS FOR THE EVOLUTIONARY DESIGN OF MULTICLASS SUPPORT VECTOR MACHINES"],"prefix":"10.1142","volume":"08","author":[{"given":"ANA C.","family":"LORENA","sequence":"first","affiliation":[{"name":"Centro de Matem\u00e1tica, Computa\u00e7\u00e3o e Cogni\u00e7\u00e3o, Universidade Federal do ABC, R. Catequese, 242, Santo Andr\u00e9, SP 09090-400, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"ANDR\u00c9 C. P. L. F.","family":"de CARVALHO","sequence":"additional","affiliation":[{"name":"Departamento de Ci\u00eancia da Computa\u00e7\u00e3o, Instituto de Ci\u00eancias Matem\u00e1ticas e de Computa\u00e7\u00e3o, Universidade de S\u00e3o Paulo, Av. Trabalhador Sancarlense, 400, S\u00e3o Carlos, SP, Cx. Postal 668, 13560-970, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2011,11,20]]},"reference":[{"key":"rf1","volume-title":"Machine Learning","author":"Mitchell T.","year":"1997"},{"key":"rf2","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511801389"},{"key":"rf3","doi-asserted-by":"crossref","first-page":"415","DOI":"10.1109\/72.991427","volume":"13","author":"Hsu C.-W.","journal-title":"IEEE Trans. Neural Networks"},{"key":"rf4","first-page":"1533","volume":"5","author":"Rifkin R.","journal-title":"J. Mach. Learn. Res."},{"key":"rf7","first-page":"445","volume":"18","author":"Lorena A. C.","journal-title":"J. Intell. Fuzzy Syst."},{"key":"rf8","volume-title":"An Introduction to Genetic Algorithms","author":"Mitchell M.","year":"1999"},{"key":"rf10","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4757-2440-0"},{"key":"rf11","volume-title":"Learning with Kernels","author":"Smola A. J.","year":"2002"},{"key":"rf15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-76153-9_5"},{"key":"rf16","doi-asserted-by":"publisher","DOI":"10.1613\/jair.105"},{"key":"rf17","doi-asserted-by":"publisher","DOI":"10.1016\/S0019-9958(60)90287-4"},{"key":"rf19","doi-asserted-by":"publisher","DOI":"10.1016\/S0925-2312(02)00601-X"},{"key":"rf21","unstructured":"G.\u00a0Wahba, Advances in Kernel Methods \u2014 Support Vector Learning (1999)\u00a0pp. 69\u201388."},{"key":"rf22","doi-asserted-by":"publisher","DOI":"10.1016\/S0045-7825(99)00389-8"},{"key":"rf23","doi-asserted-by":"publisher","DOI":"10.1007\/0-387-23667-8_12"},{"key":"rf27","unstructured":"A.\u00a0Feelders and W.\u00a0Verkooijen, Learning from Data: Artificial Intelligence and Statistics V (Springer, 1996)\u00a0pp. 272\u2013279."}],"container-title":["International Journal of Computational Intelligence and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S146902680900245X","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,7]],"date-time":"2019-08-07T11:14:21Z","timestamp":1565176461000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S146902680900245X"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2009,3]]},"references-count":16,"journal-issue":{"issue":"01","published-online":{"date-parts":[[2011,11,20]]},"published-print":{"date-parts":[[2009,3]]}},"alternative-id":["10.1142\/S146902680900245X"],"URL":"https:\/\/doi.org\/10.1142\/s146902680900245x","relation":{},"ISSN":["1469-0268","1757-5885"],"issn-type":[{"value":"1469-0268","type":"print"},{"value":"1757-5885","type":"electronic"}],"subject":[],"published":{"date-parts":[[2009,3]]}}}