LEADER 03418nam 22006735 450 001 996466176403316 005 20200706220420.0 010 $a3-642-38067-0 024 7 $a10.1007/978-3-642-38067-9 035 $a(CKB)3280000000007623 035 $a(DE-He213)978-3-642-38067-9 035 $a(SSID)ssj0000904591 035 $a(PQKBManifestationID)11476616 035 $a(PQKBTitleCode)TC0000904591 035 $a(PQKBWorkID)10924106 035 $a(PQKB)10693056 035 $a(MiAaPQ)EBC3093224 035 $a(PPN)169140806 035 $a(EXLCZ)993280000000007623 100 $a20130417d2013 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMultiple Classifier Systems$b[electronic resource] $e11th International Workshop, MCS 2013, Nanjing, China, May 15-17, 2013. Proceedings /$fedited by Zhi-Hua Zhou, Fabio Roli, Josef Kittler 205 $a1st ed. 2013. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2013. 215 $a1 online resource (XI, 400 p. 106 illus.) 225 1 $aImage Processing, Computer Vision, Pattern Recognition, and Graphics ;$v7872 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-642-38066-2 327 $aMultiple classifier systems and ensemble methods -- Pattern recognition -- Machine learning -- Neural network -- Data mining -- Statistics. 330 $aThis book constitutes the refereed proceedings of the 11th International Workshop on Multiple Classifier Systems, MCS 2013, held in Nanjing, China, in May 2013. The 34 revised papers presented together with two invited papers were carefully reviewed and selected from 59 submissions. The papers address issues in multiple classifier systems and ensemble methods, including pattern recognition, machine learning, neural network, data mining and statistics. 410 0$aImage Processing, Computer Vision, Pattern Recognition, and Graphics ;$v7872 606 $aData mining 606 $aPattern recognition 606 $aOptical data processing 606 $aInformation storage and retrieval 606 $aData Mining and Knowledge Discovery$3https://scigraph.springernature.com/ontologies/product-market-codes/I18030 606 $aPattern Recognition$3https://scigraph.springernature.com/ontologies/product-market-codes/I2203X 606 $aImage Processing and Computer Vision$3https://scigraph.springernature.com/ontologies/product-market-codes/I22021 606 $aInformation Storage and Retrieval$3https://scigraph.springernature.com/ontologies/product-market-codes/I18032 615 0$aData mining. 615 0$aPattern recognition. 615 0$aOptical data processing. 615 0$aInformation storage and retrieval. 615 14$aData Mining and Knowledge Discovery. 615 24$aPattern Recognition. 615 24$aImage Processing and Computer Vision. 615 24$aInformation Storage and Retrieval. 676 $a006.312 702 $aZhou$b Zhi-Hua$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aRoli$b Fabio$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aKittler$b Josef$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a996466176403316 996 $aMultiple Classifier Systems$9772217 997 $aUNISA LEADER 01629nam0 22003613i 450 001 UBO3700485 005 20231121125901.0 010 $a9783110221275 100 $a20180919d2009 ||||0itac50 ba 101 | $ager$cgrc 102 $ade 181 1$6z01$ai $bxxxe 182 1$6z01$an 200 1 $aMenanders Kolax: ein Beitrag zu Rekonstruktion und Interpretation der Komodie$emit Edition und Ubersetzung der Fragmente und Testimonien sowie einem dramaturgischen Kommentar$fvon Matthias J. Pernerstorfer 210 $aBerlin$aNew York$cW. de Gruyter$d2009 215 $aIX, 188 p., [2] c. di tav.$cill.$d24 cm. 225 | $aUntersuchungen zur antiken Literatur und Geschichte$v99 410 0$1001CFI0090306$12001 $aUntersuchungen zur antiken Literatur und Geschichte$v99 500 10$aColax$3RML0412155$9CFIV096974$93640839 606 $aMenandro . Adulatore$xEdizioni critiche$2FIR$3RMLC421814$9E 676 $a882.01$9Poesia drammatica e letteratura drammatica greca classica. Periodo antico, fino al 499 ca.$v22 700 1$aPernerstorfer$b, Matthias Johannes$3UBOV371428$4070$0474622 701 0$aMenander$3CFIV096974$4070$0439103 790 0$aMenandro$3CFIV128693$zMenander 790 0$aMénandre$3IEIV092164$zMenander 801 3$aIT$bIT-01$c20180919 850 $aIT-FR0017 899 $aBiblioteca umanistica Giorgio Aprea$bFR0017 $eN 912 $aUBO3700485 950 0$aBiblioteca umanistica Giorgio Aprea$d 52S.SIJ. LG1 Men.Col.Per.$e 52FLS0000380975 VMN RS $fA $h20180919$i20180919 977 $a 52 996 $aColax$93640839 997 $aUNICAS