LEADER 02935nam 22005535 450 001 9910520067003321 005 20251202141804.0 010 $a3-030-88132-6 024 7 $a10.1007/978-3-030-88132-0 035 $a(MiAaPQ)EBC6838665 035 $a(Au-PeEL)EBL6838665 035 $a(CKB)20275215500041 035 $a(OCoLC)1290841546 035 $a(PPN)260307300 035 $a(BIP)82727961 035 $a(BIP)81403784 035 $a(DE-He213)978-3-030-88132-0 035 $a(EXLCZ)9920275215500041 100 $a20211124d2021 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAutomated Machine Learning and Meta-Learning for Multimedia /$fby Wenwu Zhu, Xin Wang 205 $a1st ed. 2021. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2021. 215 $a1 online resource (240 pages) 311 08$aPrint version: Zhu, Wenwu Automated Machine Learning and Meta-Learning for Multimedia Cham : Springer International Publishing AG,c2021 9783030881313 327 $aAutomated Machine Learning -- Meta-learning -- Automated Machine Learning for Multimedia -- Meta-learning for Multimedia -- Future Research Directions. 330 $aThis book disseminates and promotes the recent research progress and frontier development on AutoML and meta-learning as well as their applications on computer vision, natural language processing, multimedia and data mining related fields. These are exciting and fast-growing research directions in the general field of machine learning. The authors advocate novel, high-quality research findings, and innovative solutions to the challenging problems in AutoML and meta-learning. This topic is at the core of the scope of artificial intelligence, and is attractive to audience from both academia and industry. This book is highly accessible to the whole machine learning community, including: researchers, students and practitioners who are interested in AutoML, meta-learning, and their applications in multimedia, computer vision, natural language processing and data mining related tasks. The book is self-contained and designed for introductory and intermediate audiences. No special prerequisite knowledge is required to read this book. 606 $aMultimedia systems 606 $aMachine learning 606 $aMultimedia Information Systems 606 $aMachine Learning 615 0$aMultimedia systems. 615 0$aMachine learning. 615 14$aMultimedia Information Systems. 615 24$aMachine Learning. 676 $a006.31 700 $aZhu$b Wenwu$0763557 702 $aWang$b Xin 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910520067003321 996 $aAutomated machine learning and meta-learning for multimedia$92909964 997 $aUNINA