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Theoretical Computer Science and General Issues

Artificial Neural Networks and Machine Learning – ICANN 2019: Text and Time Series

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

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

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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 (59 chapters)

Table of contents (59 chapters)
  • An Ensemble Model for Winning a Chinese Machine Reading Comprehension Competition

    Pages 3-8

    He, Jun (et al.)

  • Dependent Multilevel Interaction Network for Natural Language Inference

    Pages 9-21

    Li, Yun (et al.)

  • Learning to Explain Chinese Slang Words

    Pages 22-33

    Yi, Chuanrun (et al.)

  • Attention-Based Improved BLSTM-CNN for Relation Classification

    Pages 34-43

    Xiao, Qifeng (et al.)

  • An Improved Method of Applying a Machine Translation Model to a Chinese Word Segmentation Task

    Pages 44-54

    Wei, Yuekun (et al.)

Buy this book

eBook $89.00
price for USA in USD
  • ISBN 978-3-030-30490-4
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $119.99
price for USA in USD
  • ISBN 978-3-030-30489-8
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Artificial Neural Networks and Machine Learning – ICANN 2019: Text and Time Series
Book Subtitle
28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, 2019, Proceedings, Part IV
Editors
  • Igor Tetko
  • Věra Kůrková
  • Pavel Karpov
  • Fabian Theis
Series Title
Theoretical Computer Science and General Issues
Series Volume
11730
Copyright
2019
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-30490-4
DOI
10.1007/978-3-030-30490-4
Softcover ISBN
978-3-030-30489-8
Edition Number
1
Number of Pages
XXX, 761
Number of Illustrations
141 b/w illustrations, 198 illustrations in colour
Topics

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