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Theoretical Computer Science and General Issues

Artificial Neural Networks and Machine Learning – ICANN 2019: Deep Learning

28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, 2019, Proceedings, Part II

Editors: Tetko, I., Kůrková, V., Karpov, P., Theis, F. (Eds.)

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  • ISBN 978-3-030-30484-3
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About this book

The proceedings set LNCS 11727, 11728, 11729, 11730, and 11731 constitute the proceedings of the 28th International Conference on Artificial Neural Networks, ICANN 2019, held in Munich, Germany, in September 2019. 
The total of 277 full papers and 43 short papers presented in these proceedings was carefully reviewed and selected from 494 submissions. They were organized in 5 volumes focusing on theoretical neural computation; deep learning; image processing; text and time series; and workshop and special sessions. 

Table of contents (62 chapters)

Table of contents (62 chapters)
  • Adaptive Graph Fusion for Unsupervised Feature Selection

    Pages 3-15

    Niu, Sijia (et al.)

  • Unsupervised Feature Selection via Local Total-Order Preservation

    Pages 16-28

    Ma, Rui (et al.)

  • Discrete Stochastic Search and Its Application to Feature-Selection for Deep Relational Machines

    Pages 29-45

    Dash, Tirtharaj (et al.)

  • Joint Dictionary Learning for Unsupervised Feature Selection

    Pages 46-58

    Fan, Yang (et al.)

  • Comparison Between Filter Criteria for Feature Selection in Regression

    Pages 59-71

    Degeest, Alexandra (et al.)

Buy this book

eBook $89.00
price for USA in USD
  • ISBN 978-3-030-30484-3
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $119.99
price for USA in USD
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Bibliographic Information

Bibliographic Information
Book Title
Artificial Neural Networks and Machine Learning – ICANN 2019: Deep Learning
Book Subtitle
28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, 2019, Proceedings, Part II
Editors
  • Igor Tetko
  • Věra Kůrková
  • Pavel Karpov
  • Fabian Theis
Series Title
Theoretical Computer Science and General Issues
Series Volume
11728
Copyright
2019
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-30484-3
DOI
10.1007/978-3-030-30484-3
Softcover ISBN
978-3-030-30483-6
Edition Number
1
Number of Pages
XXX, 807
Number of Illustrations
101 b/w illustrations, 193 illustrations in colour
Topics