LEADER 01201nam 2200421 450 001 9910460472403321 005 20200121090911.0 010 $a2-511-02246-X 035 $a(CKB)3710000000391999 035 $a(EBL)2007191 035 $a(MiAaPQ)EBC2007191 035 $a(Au-PeEL)EBL2007191 035 $a(OCoLC)908100206 035 $a(EXLCZ)993710000000391999 100 $a20200121d2014 uy 0 101 0 $afre 135 $aur|n|---||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAustral KO /$fJean-Noe?l Levavasseur 210 1$a[Place of publication not identified] :$cLibre court,$d[2014] 210 4$dİ2014 215 $a1 online resource (32 p.) 300 $aDescription based upon print version of record. 327 $aPage de titre; Austral KO; Catalogue; Copyright 606 $aBoxing stories 608 $aElectronic books. 615 0$aBoxing stories. 676 $a813.0108355 700 $aLevavasseur$b Jean-Noe?l$0916578 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910460472403321 996 $aAustral KO$92054848 997 $aUNINA LEADER 04047nam 22006735 450 001 9910647787903321 005 20251204102545.0 010 $a3-031-22371-3 024 7 $a10.1007/978-3-031-22371-6 035 $a(MiAaPQ)EBC7192214 035 $a(Au-PeEL)EBL7192214 035 $a(CKB)26094846200041 035 $a(DE-He213)978-3-031-22371-6 035 $a(PPN)268205868 035 $a(EXLCZ)9926094846200041 100 $a20230206d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aFusion of Machine Learning Paradigms $eTheory and Applications /$fedited by Ioannis K. Hatzilygeroudis, George A. Tsihrintzis, Lakhmi C. Jain 205 $a1st ed. 2023. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2023. 215 $a1 online resource (204 pages) 225 1 $aIntelligent Systems Reference Library,$x1868-4408 ;$v236 311 08$aPrint version: Hatzilygeroudis, Ioannis K. Fusion of Machine Learning Paradigms Cham : Springer International Publishing AG,c2023 9783031223709 320 $aIncludes bibliographical references. 327 $aEditorial Note -- Artificial Intelligence as Dual-Use Technology -- Diabetic Retinopathy Detection using Transfer and Reinforcement Learning with effective image preprocessing and data augmentation techniques. . 330 $aThis book aims at updating the relevant computer science-related research communities, including professors, researchers, scientists, engineers and students, as well as the general reader from other disciplines, on the most recent advances in applications of methods based on Fusing Machine Learning Paradigms. Integrated or Hybrid Machine Learning methodologies combine together two or more Machine Learning approaches achieving higher performance and better efficiency when compared to those of their constituent components and promising major impact in science, technology and the society. The book consists of an editorial note and an additional eight chapters and is organized into two parts, namely: (i) Recent Application Areas of Fusion of Machine Learning Paradigms and (ii) Applications that can clearly benefit from Fusion of Machine Learning Paradigms. This book is directed toward professors, researchers, scientists, engineers and students in Machine Learning-related disciplines, as the hybridism presented, and the case studies described provide researchers with successful approaches and initiatives to efficiently address complex classification or regression problems. It is also directed toward readers who come from other disciplines, including Engineering, Medicine or Education Sciences, and are interested in becoming versed in some of the most recent Machine Learning-based technologies. Extensive lists of bibliographic references at the end of each chapter guide the readers to probe further into the application areas of interest to them. 410 0$aIntelligent Systems Reference Library,$x1868-4408 ;$v236 606 $aComputational intelligence 606 $aArtificial intelligence 606 $aMachine learning 606 $aData protection 606 $aComputational Intelligence 606 $aArtificial Intelligence 606 $aMachine Learning 606 $aData and Information Security 615 0$aComputational intelligence. 615 0$aArtificial intelligence. 615 0$aMachine learning. 615 0$aData protection. 615 14$aComputational Intelligence. 615 24$aArtificial Intelligence. 615 24$aMachine Learning. 615 24$aData and Information Security. 676 $a780 676 $a006.31 702 $aHatzilygeroudis$b Ioannis 702 $aTsihrintzis$b George A. 702 $aJain$b L. C. 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910647787903321 996 $aFusion of machine learning paradigms$93362952 997 $aUNINA