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Automated machine learning and meta-...

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Automated machine learning and meta-learning for multimedia

Record Type:	Electronic resources : Monograph/item
Title/Author:	Automated machine learning and meta-learning for multimediaby Wenwu Zhu, Xin Wang.
Author:	Zhu, Wenwu.
other author:	Wang, Xin.
Published:	Cham :Springer International Publishing :2021.
Description:	xxvii, 224 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Machine learning.
Online resource:	https://doi.org/10.1007/978-3-030-88132-0
ISBN:	9783030881320$q(electronic bk.)

Automated machine learning and meta-learning for multimedia
Zhu, Wenwu.

Automated machine learning and meta-learning for multimedia[electronic resource] /by Wenwu Zhu, Xin Wang. - Cham :Springer International Publishing :2021. - xxvii, 224 p. :ill., digital ;24 cm.

Automated Machine Learning -- Meta-learning -- Automated Machine Learning for Multimedia -- Meta-learning for Multimedia -- Future Research Directions.

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.

ISBN: 9783030881320$q(electronic bk.)

Standard No.: 10.1007/978-3-030-88132-0doiSubjects--Topical Terms:

188639
Machine learning.

LC Class. No.: Q325.5 / .Z48 2021

Dewey Class. No.: 006.31

Automated machine learning and meta-learning for multimedia
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245 1 0 $a Automated machine learning and meta-learning for multimedia $h [electronic resource] / $c by Wenwu Zhu, Xin Wang.
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505 0 $a Automated Machine Learning -- Meta-learning -- Automated Machine Learning for Multimedia -- Meta-learning for Multimedia -- Future Research Directions.
520 $a 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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