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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- About this book
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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)
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Adaptive Graph Fusion for Unsupervised Feature Selection
Pages 3-15
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Unsupervised Feature Selection via Local Total-Order Preservation
Pages 16-28
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Discrete Stochastic Search and Its Application to Feature-Selection for Deep Relational Machines
Pages 29-45
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Joint Dictionary Learning for Unsupervised Feature Selection
Pages 46-58
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Comparison Between Filter Criteria for Feature Selection in Regression
Pages 59-71
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Table of contents (62 chapters)
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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
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- 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