Overview
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10614)
Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)
Included in the following conference series:
Conference proceedings info: ICANN 2017.
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Table of contents (81 papers)
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Boltzmann Machines and Phase Transitions
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Context Information Learning and Self-assessment in Advanced Machine Learning Models
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Front Matter
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Representation and Classification
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Front Matter
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Other volumes
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Artificial Neural Networks and Machine Learning – ICANN 2017
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Artificial Neural Networks and Machine Learning – ICANN 2017
Keywords
- artificial intelligence
- bio-embedded electronics
- classification and regression trees
- computational complexity and cryptography
- computer vision
- computing methodologies
- formal languages and automata theory
- kernel methods
- learning algorithms
- learning in probabilistic graphical models
- machine learning algorithms
- machine learning approaches
- network dynamics
- network structure
- neural networks
- recurrent neural networks
- robotics
About this book
The two volume set, LNCS 10613 and 10614, constitutes the proceedings of then 26th International Conference on Artificial Neural Networks, ICANN 2017, held in Alghero, Italy, in September 2017.
The 128 full papers included in this volume were carefully reviewed and selected from 270 submissions. They were organized in topical sections named: From Perception to Action; From Neurons to Networks; Brain Imaging; Recurrent Neural Networks; Neuromorphic Hardware; Brain Topology and Dynamics; Neural Networks Meet Natural and Environmental Sciences; Convolutional Neural Networks; Games and Strategy; Representation and Classification; Clustering; Learning from Data Streams and Time Series; Image Processing and Medical Applications; Advances in Machine Learning.
There are 63 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 2017
Book Subtitle: 26th International Conference on Artificial Neural Networks, Alghero, Italy, September 11-14, 2017, Proceedings, Part II
Editors: Alessandra Lintas, Stefano Rovetta, Paul F.M.J. Verschure, Alessandro E.P. Villa
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-68612-7
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing AG 2017
Softcover ISBN: 978-3-319-68611-0Published: 25 October 2017
eBook ISBN: 978-3-319-68612-7Published: 24 October 2017
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XXXI, 801
Number of Illustrations: 200 b/w illustrations
Topics: Artificial Intelligence, Special Purpose and Application-Based Systems, Computer Communication Networks, Logic Design, Operating Systems, Image Processing and Computer Vision