LEADER 01875oam 2200481zu 450 001 9910144687703321 005 20210807003055.0 010 $a0-470-32035-4 010 $a0-470-32070-2 035 $a(CKB)1000000000687909 035 $a(SSID)ssj0000750374 035 $a(PQKBManifestationID)11401151 035 $a(PQKBTitleCode)TC0000750374 035 $a(PQKBWorkID)10748619 035 $a(PQKB)11398012 035 $a(WaSeSS)Ind00046184 035 $a(EXLCZ)991000000000687909 100 $a20160829d2008 uy 101 0 $aeng 135 $aur||||||||||| 181 $ctxt 182 $cc 183 $acr 200 10$a13th Automotive Materials Conference proceedings of the 13th Automotive Materials Conference : a collection of papers presented, November 6-7, 1985, University of Michigan Ann Arbor, Michigan 210 31$a[Place of publication not identified]$cAmerican Ceramic Society$d2008 215 $a1 online resource (vi, 1199 p.) 225 1 $aCeramic Engineering and Science Proceedings,$x0196-6219 ;$vVol. 7, No. 9-1 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a0-470-37468-3 410 0$aCeramic engineering and science proceedings ;$vVol. 7, No. 9-1. 606 $aChemical & Materials Engineering$2HILCC 606 $aEngineering & Applied Sciences$2HILCC 606 $aMaterials Science$2HILCC 615 7$aChemical & Materials Engineering 615 7$aEngineering & Applied Sciences 615 7$aMaterials Science 702 $aTien$b T. Y 702 $aQuadir$b Tariq 801 0$bPQKB 906 $aBOOK 912 $a9910144687703321 996 $a13th Automotive Materials Conference proceedings of the 13th Automotive Materials Conference : a collection of papers presented, November 6-7, 1985, University of Michigan Ann Arbor, Michigan$91966716 997 $aUNINA LEADER 03071nam 2200733 a 450 001 9910144576703321 005 20200520144314.0 010 $a9786611001889 010 $a9781281001887 010 $a1281001880 010 $a9780470140529 010 $a0470140526 010 $a9780470140512 010 $a0470140518 024 7 $a10.1002/9780470140529 035 $a(CKB)1000000000376973 035 $a(EBL)313393 035 $a(SSID)ssj0000190532 035 $a(PQKBManifestationID)11189217 035 $a(PQKBTitleCode)TC0000190532 035 $a(PQKBWorkID)10179772 035 $a(PQKB)10250076 035 $a(MiAaPQ)EBC313393 035 $a(CaBNVSL)mat05201503 035 $a(IDAMS)0b0000648104a999 035 $a(IEEE)5201503 035 $a(OCoLC)181345815 035 $a(PPN)273206834 035 $a(Perlego)2763149 035 $a(EXLCZ)991000000000376973 100 $a20061117d2007 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aLearning from data $econcepts, theory, and methods /$fVladimir Cherkassky, Filip Mulier 205 $a2nd ed. 210 $aHoboken, N.J. $cIEEE Press $cWiley-Interscience$dc2007 215 $a1 online resource (558 p.) 300 $aDescription based upon print version of record. 311 08$a9780471681823 311 08$a0471681822 320 $aIncludes bibliographical references (p. 519-531) and index. 327 $aProblem statement, classical approaches, and adaptive learning -- Regularization framework -- Statistical learning theory -- Nonlinear optimization strategies -- Methods for data reduction and dimensionality reduction -- Methods for regression -- Classification -- Support vector machines -- Noninductive inference and alternative learning formulations. 330 $aAn interdisciplinary framework for learning methodologies--covering statistics, neural networks, and fuzzy logic, this book provides a unified treatment of the principles and methods for learning dependencies from data. It establishes a general conceptual framework in which various learning methods from statistics, neural networks, and fuzzy logic can be applied--showing that a few fundamental principles underlie most new methods being proposed today in statistics, engineering, and computer science. Complete with over one hundred illustrations, case studies, and examples making this an invaluable text. 606 $aAdaptive signal processing 606 $aMachine learning 606 $aNeural networks (Computer science) 606 $aFuzzy systems 615 0$aAdaptive signal processing. 615 0$aMachine learning. 615 0$aNeural networks (Computer science) 615 0$aFuzzy systems. 676 $a006.3/1 700 $aCherkassky$b Vladimir S$0104932 701 $aMulier$b Filip$0145715 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910144576703321 996 $aLearning from data$9835380 997 $aUNINA