LEADER 03648nam 22007095 450 001 9910298995203321 005 20200705191658.0 010 $a3-662-45652-4 024 7 $a10.1007/978-3-662-45652-1 035 $a(CKB)3710000000325114 035 $a(SSID)ssj0001408037 035 $a(PQKBManifestationID)11727550 035 $a(PQKBTitleCode)TC0001408037 035 $a(PQKBWorkID)11339748 035 $a(PQKB)11603431 035 $a(DE-He213)978-3-662-45652-1 035 $a(MiAaPQ)EBC6295524 035 $a(MiAaPQ)EBC5592098 035 $a(Au-PeEL)EBL5592098 035 $a(OCoLC)902703619 035 $a(PPN)183153774 035 $a(EXLCZ)993710000000325114 100 $a20141204d2014 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aMachine Learning and Cybernetics $e13th International Conference, Lanzhou, China, July 13-16, 2014. Proceedings /$fedited by Xizhao Wang, Witold Pedrycz, Patrick Chan, Qiang He 205 $a1st ed. 2014. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2014. 215 $a1 online resource (XIV, 462 p. 160 illus.) 225 1 $aCommunications in Computer and Information Science,$x1865-0929 ;$v481 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-662-45651-6 327 $aClassification and semi-supervised learning; -- Clustering and kernel.-Application to recognition -- Sampling and big data -- Application to detection -- Decision tree learning; learning and adaptation -- Similarity and decision making -- Learning with uncertainty -- Improved learning algorithms and applications. 330 $aThis book constitutes the refereed proceedings of the 13th International Conference on Machine Learning and Cybernetics, Lanzhou, China, in July 2014. The 45 revised full papers presented were carefully reviewed and selected from 421 submissions. The papers are organized in topical sections on classification and semi-supervised learning; clustering and kernel; application to recognition; sampling and big data; application to detection; decision tree learning; learning and adaptation; similarity and decision making; learning with uncertainty; improved learning algorithms and applications. 410 0$aCommunications in Computer and Information Science,$x1865-0929 ;$v481 606 $aArtificial intelligence 606 $aData mining 606 $aAlgorithms 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aData Mining and Knowledge Discovery$3https://scigraph.springernature.com/ontologies/product-market-codes/I18030 606 $aAlgorithm Analysis and Problem Complexity$3https://scigraph.springernature.com/ontologies/product-market-codes/I16021 615 0$aArtificial intelligence. 615 0$aData mining. 615 0$aAlgorithms. 615 14$aArtificial Intelligence. 615 24$aData Mining and Knowledge Discovery. 615 24$aAlgorithm Analysis and Problem Complexity. 676 $a006.31 702 $aWang$b Xizhao$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aPedrycz$b Witold$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aChan$b Patrick$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aHe$b Qiang$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910298995203321 996 $aMachine Learning and Cybernetics$92260448 997 $aUNINA