Automated Machine Learning and Meta-Learning for Multimedia

Automated Machine Learning and Meta-Learning for Multimedia

EnglishHardbackPrint on demand
Zhu Wenwu
Springer, Berlin
EAN: 9783030881313
Print on demand
Delivery on Friday, 21. of August 2026
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Detailed information

This 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.
EAN 9783030881313
ISBN 3030881318
Binding Hardback
Publisher Springer, Berlin
Publication date November 24, 2021
Pages 224
Language English
Dimensions 235 x 155
Country Switzerland
Readership Professional & Scholarly
Authors Wang, Xin; Zhu Wenwu
Illustrations 64 Illustrations, color; 3 Illustrations, black and white; XXVII, 224 p. 67 illus., 64 illus. in color.
Edition 2021 ed.
Manufacturer information
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