LEADER 04113nam 22006855 450 001 9910991172303321 005 20250326115250.0 010 $a981-9626-87-0 024 7 $a10.1007/978-981-96-2687-8 035 $a(CKB)38124650600041 035 $a(DE-He213)978-981-96-2687-8 035 $a(MiAaPQ)EBC31978590 035 $a(Au-PeEL)EBL31978590 035 $a(EXLCZ)9938124650600041 100 $a20250326d2025 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aComputational Intelligence for High-Dimensional Machine Learning $eA Feature Selection Perspective and Its Real-World Applications /$fby Yu Zhou, Xiao Zhang, Sam Kwong 205 $a1st ed. 2025. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2025. 215 $a1 online resource (IX, 122 p. 44 illus., 41 illus. in color.) 225 1 $aSpringerBriefs in Computer Science,$x2191-5776 311 08$a981-9626-86-2 327 $aIntroduction of High Dimensional Machine Learning -- Feature selection and computational Intelligence Methods -- Evolutionary algorithm based global feature selection -- Evolutionary algorithm based local feature selection -- Deep neural network based hybrid feature selection -- Real-world case study -- Conclusions. 330 $aThis book focuses on the modelling and optimization aspects of the feature selection problem through computational intelligence methods in complex, high-dimensional supervised machine learning. To aid readers in conducting research in this field, it covers fundamental concepts and state-of-the-art algorithms. This book also provides a detailed insight into applying these algorithms into real-world applications. The authors begin by introducing the definition high-dimensional machine learning (ML) problems and the challenges they pose. Subsequently, they delve into dimension reduction methods for high-dimensional ML, including global and local feature selection (FS) techniques. This book also comprehensively presents computational intelligence methods such as evolutionary computation and deep neural networks for FS, supported by both theoretical and empirical evidence. Furthermore, this book explores real-world scenario applications involving high-dimensional ML, particularly in the context of smart cities, bioinformatics and industrial informatics. This book is a suitable read for postgraduates and researchers who are interested in the research areas of computational intelligence, soft computing, machine learning and deep learning. Professionals and practitioners within these related fields will also benefit from this book. 410 0$aSpringerBriefs in Computer Science,$x2191-5776 606 $aArtificial intelligence 606 $aMachine learning 606 $aComputers and civilization 606 $aComputer science 606 $aApplication software 606 $aArtificial Intelligence 606 $aMachine Learning 606 $aComputers and Society 606 $aTheory and Algorithms for Application Domains 606 $aComputer and Information Systems Applications 615 0$aArtificial intelligence. 615 0$aMachine learning. 615 0$aComputers and civilization. 615 0$aComputer science. 615 0$aApplication software. 615 14$aArtificial Intelligence. 615 24$aMachine Learning. 615 24$aComputers and Society. 615 24$aTheory and Algorithms for Application Domains. 615 24$aComputer and Information Systems Applications. 676 $a006.3 700 $aZhou$b Yu$4aut$4http://id.loc.gov/vocabulary/relators/aut$01117011 702 $aZhang$b Xiao$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aKwong$b Sam$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910991172303321 996 $aComputational Intelligence for High-Dimensional Machine Learning$94349645 997 $aUNINA