1.

Record Nr.

UNINA9910520067003321

Autore

Zhu Wenwu

Titolo

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

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021

ISBN

3-030-88132-6

Edizione

[1st ed. 2021.]

Descrizione fisica

1 online resource (240 pages)

Disciplina

006.31

Soggetti

Multimedia systems

Machine learning

Multimedia Information Systems

Machine Learning

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

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

Sommario/riassunto

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.