Composite Quantile Regression Long Short-Term Memory Network
In: Artificial Neural Networks and Machine Learning – ICANN 2019: Text and Time Series : 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, Jg. 11730 (2019), S. 513-524
Online
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Zugriff:
Titel: |
Composite Quantile Regression Long Short-Term Memory Network
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Autor/in / Beteiligte Person: | Xie, Zongxia ; Wen, Hao ; Goos, Gerhard, Founding Editor ; Hartmanis, Juris, Founding Editor ; Bertino, Elisa [Ed.]ial Board Member ; Gao, Wen [Ed.]ial Board Member ; Steffen, Bernhard [Ed.]ial Board Member ; Woeginger, Gerhard [Ed.]ial Board Member ; Yung, Moti [Ed.]ial Board Member ; Tetko, Igor V. [Ed.] ; Kůrková, Věra [Ed.] ; Karpov, Pavel [Ed.] ; Theis, Fabian [Ed.] |
Zeitschrift: | Artificial Neural Networks and Machine Learning – ICANN 2019: Text and Time Series : 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, Jg. 11730 (2019), S. 513-524 |
Veröffentlichung: | 2019 |
Medientyp: | E-Book |
ISBN: | 978-3-030-30489-8 (print) ; 978-3-030-30490-4 (print) |
DOI: | 10.1007/978-3-030-30490-4_41 |
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