LEADER 03321nam 22005775 450 001 9910254352703321 005 20200702040602.0 010 $a3-319-46186-9 024 7 $a10.1007/978-3-319-46186-1 035 $a(CKB)3710000000909142 035 $a(DE-He213)978-3-319-46186-1 035 $a(MiAaPQ)EBC6296874 035 $a(MiAaPQ)EBC5577167 035 $a(Au-PeEL)EBL5577167 035 $a(OCoLC)960947110 035 $a(PPN)196323665 035 $a(EXLCZ)993710000000909142 100 $a20161012d2017 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aTwin Support Vector Machines $eModels, Extensions and Applications /$fby Jayadeva, Reshma Khemchandani, Suresh Chandra 205 $a1st ed. 2017. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2017. 215 $a1 online resource (XIV, 211 p. 21 illus., 20 illus. in color.) 225 1 $aStudies in Computational Intelligence,$x1860-949X ;$v659 311 $a3-319-46184-2 327 $aIntroduction -- Generalized Eigenvalue Proximal Support Vector Machines -- Twin Support Vector Machines (TWSVM) for Classification -- TWSVR: Twin Support Vector Machine Based Regression -- Variants of Twin Support Vector Machines: Some More Formulations -- TWSVM for Unsupervised and Semi-Supervised Learning -- Some Additional Topics -- Applications Based on TWSVM -- References. 330 $aThis book provides a systematic and focused study of the various aspects of twin support vector machines (TWSVM) and related developments for classification and regression. In addition to presenting most of the basic models of TWSVM and twin support vector regression (TWSVR) available in the literature, it also discusses the important and challenging applications of this new machine learning methodology. A chapter on ?Additional Topics? has been included to discuss kernel optimization and support tensor machine topics, which are comparatively new but have great potential in applications. It is primarily written for graduate students and researchers in the area of machine learning and related topics in computer science, mathematics, electrical engineering, management science and finance. 410 0$aStudies in Computational Intelligence,$x1860-949X ;$v659 606 $aComputational intelligence 606 $aArtificial intelligence 606 $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 615 0$aComputational intelligence. 615 0$aArtificial intelligence. 615 14$aComputational Intelligence. 615 24$aArtificial Intelligence. 676 $a006.31 700 $aJayadeva$4aut$4http://id.loc.gov/vocabulary/relators/aut$0513828 702 $aKhemchandani$b Reshma$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aChandra$b Suresh$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910254352703321 996 $aTwin Support Vector Machines$92273106 997 $aUNINA