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Automated Machine Learning and Meta-Learning for Multimedia

Produktform: E-Buch Text Elektronisches Buch in proprietärem

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 authorrs 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.weiterlesen

Elektronisches Format: PDF

Sprache(n): Englisch

ISBN: 978-3-030-88132-0 / 978-3030881320 / 9783030881320

Verlag: Springer International Publishing

Erscheinungsdatum: 01.01.2022

Seiten: 224

Autor(en): Xin Wang, Wenwu Zhu

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