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020 _a9783030881320
_9978-3-030-88132-0
024 7 _a10.1007/978-3-030-88132-0
_2doi
050 4 _aQA76.575
072 7 _aUG
_2bicssc
072 7 _aCOM034000
_2bisacsh
072 7 _aUG
_2thema
082 0 4 _a006.7
_223
100 1 _aZhu, Wenwu.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aAutomated Machine Learning and Meta-Learning for Multimedia
_h[electronic resource] /
_cby Wenwu Zhu, Xin Wang.
250 _a1st ed. 2021.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2021.
300 _aXXVII, 224 p. 67 illus., 64 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aAutomated Machine Learning -- Meta-learning -- Automated Machine Learning for Multimedia -- Meta-learning for Multimedia -- Future Research Directions.
520 _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.
650 0 _aMultimedia systems.
650 0 _aMachine learning.
650 1 4 _aMultimedia Information Systems.
650 2 4 _aMachine Learning.
700 1 _aWang, Xin.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030881313
776 0 8 _iPrinted edition:
_z9783030881337
776 0 8 _iPrinted edition:
_z9783030881344
856 4 0 _uhttps://doi.org/10.1007/978-3-030-88132-0
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
942 _cSPRINGER
999 _c178702
_d178702