Overview
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 9887)
Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)
Included in the following conference series:
Conference proceedings info: ICANN 2016.
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Table of contents (62 papers)
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Deep Learning
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Classification and Forecasting
Other volumes
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Artificial Neural Networks and Machine Learning – ICANN 2016
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Artificial Neural Networks and Machine Learning – ICANN 2016
Keywords
- computational complexity
- cryptography
- formal languages
- machine learning approaches
- neural systems
- automata theory
- bio-embedded electronics
- classification
- computing methodologies
- hardware
- kernel methods
- learning in probabilistic graphical models
- learning linear models
- machine learning algorithms
- network dynamics
- network structure
- networks
- neural networks
- regression trees
- theory of computation
About this book
The 121 full papers included in this volume were carefully reviewed and selected from 227 submissions. They were organized in topical sections named: from neurons to networks; networks and dynamics; higher nervous functions; neuronal hardware; learning foundations; deep learning; classifications and forecasting; and recognition and navigation. There are 47 short paper abstracts that are included in the back matter of the volume.
Editors and Affiliations
Bibliographic Information
Book Title: Artificial Neural Networks and Machine Learning – ICANN 2016
Book Subtitle: 25th International Conference on Artificial Neural Networks, Barcelona, Spain, September 6-9, 2016, Proceedings, Part II
Editors: Alessandro E.P. Villa, Paolo Masulli, Antonio Javier Pons Rivero
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-44781-0
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing Switzerland 2016
Softcover ISBN: 978-3-319-44780-3Published: 13 August 2016
eBook ISBN: 978-3-319-44781-0Published: 26 August 2016
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XXIX, 557
Number of Illustrations: 173 b/w illustrations
Topics: Artificial Intelligence, Computation by Abstract Devices, Algorithm Analysis and Problem Complexity, Pattern Recognition, Information Systems Applications (incl. Internet), Image Processing and Computer Vision