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Automated Machine Learning and Meta-Learning for Multimedia / by Wenwu Zhu, Xin Wang.

SpringerLink Books Computer Science (2011-2024) Available online

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Format:
Book
Author/Creator:
Zhu, Wenwu, Author.
Wang, Xin, Author.
Contributor:
SpringerLink (Online service)
Series:
Computer Science (SpringerNature-11645)
Language:
English
Subjects (All):
Multimedia systems.
Machine learning.
Multimedia Information Systems.
Machine Learning.
Local Subjects:
Multimedia Information Systems.
Machine Learning.
Physical Description:
1 online resource (XXVII, 224 pages) : 67 illustrations, 64 illustrations in color.
Edition:
1st ed. 2021.
Contained In:
Springer Nature eBook
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2021.
System Details:
text file PDF
Summary:
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.
Contents:
Automated Machine Learning
Meta-learning
Automated Machine Learning for Multimedia
Meta-learning for Multimedia
Future Research Directions.
Other Format:
Printed edition:
ISBN:
978-3-030-88132-0
9783030881320
Access Restriction:
Restricted for use by site license.

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