Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12895)
Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)
Included in the following conference series:
Conference proceedings info: ICANN 2021.
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Table of contents (55 papers)
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Representation Learning
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Semi- and Unsupervised Learning
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Spiking Neural Networks
Other volumes
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Artificial Neural Networks and Machine Learning – ICANN 2021
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Artificial Neural Networks and Machine Learning – ICANN 2021
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Artificial Neural Networks and Machine Learning – ICANN 2021
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Artificial Neural Networks and Machine Learning – ICANN 2021
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Artificial Neural Networks and Machine Learning – ICANN 2021
Keywords
- artificial intelligence
- computer networks
- computer science
- computer systems
- computer vision
- data mining
- databases
- education
- engineering
- image processing
- internet
- learning
- linguistics
- machine learning
- mathematics
- Natural Language Processing (NLP)
- natural languages
- neural networks
- semantics
- signal processing
About this book
The proceedings set LNCS 12891, LNCS 12892, LNCS 12893, LNCS 12894 and LNCS 12895 constitute the proceedings of the 30th International Conference on Artificial Neural Networks, ICANN 2021, held in Bratislava, Slovakia, in September 2021.* The total of 265 full papers presented in these proceedings was carefully reviewed and selected from 496 submissions, and organized in 5 volumes.
In this volume, the papers focus on topics such as representation learning, reservoir computing, semi- and unsupervised learning, spiking neural networks, text understanding, transfers and meta learning, and video processing.
*The conference was held online 2021 due to the COVID-19 pandemic.
Editors and Affiliations
Bibliographic Information
Book Title: Artificial Neural Networks and Machine Learning – ICANN 2021
Book Subtitle: 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14–17, 2021, Proceedings, Part V
Editors: Igor Farkaš, Paolo Masulli, Sebastian Otte, Stefan Wermter
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-86383-8
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2021
Softcover ISBN: 978-3-030-86382-1Published: 11 September 2021
eBook ISBN: 978-3-030-86383-8Published: 10 September 2021
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XXIV, 693
Number of Illustrations: 23 b/w illustrations, 1 illustrations in colour
Topics: Artificial Intelligence, Information Systems Applications (incl. Internet), Data Mining and Knowledge Discovery, Database Management, Computer Appl. in Social and Behavioral Sciences, Image Processing and Computer Vision