Automated Machine Learning and Meta-Learning for Multimedia
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66 563 Ft
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Product details:
- Edition number 1st ed. 2021
- Publisher Springer International Publishing
- Date of Publication 25 November 2022
- Number of Volumes 1 pieces, Book
- ISBN 9783030881344
- Binding Paperback
- See also 9783030881313
- No. of pages224 pages
- Size 235x155 mm
- Weight 391 g
- Language English
- Illustrations XXVII, 224 p. 67 illus., 64 illus. in color. Illustrations, black & white 415
Categories
Computer Graphics Softwares
Computer programming in general
Other integrated software packages
Probability and mathematical statistics
Artificial Intelligence
Operating systems and graphical user interfaces
Computer Graphics Softwares (charity campaign)
Computer programming in general (charity campaign)
Artificial Intelligence (charity campaign)
Operating systems and graphical user interfaces (charity campaign)
Other integrated software packages (charity campaign)
Probability and mathematical statistics (charity campaign)
Long description:
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.
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Table of Contents:
Automated Machine Learning.- Meta-learning.- Automated Machine Learning for Multimedia.- Meta-learning for Multimedia.- Future Research Directions.
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