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  • Search: subject:"online gradient descent"
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Year of publication
Subject
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Mathematical programming 3 Mathematische Optimierung 3 Theorie 3 Theory 3 online gradient descent 2 Batch-Mode Gradient Descent 1 Bestandsmanagement 1 Big Data 1 Bioinspired Algorithm 1 CAPM 1 CAPM model 1 Deep Learning 1 Distributed Computing 1 Inventory management 1 Inventory model 1 Lagerhaltungsmodell 1 Lagermanagement 1 Learning process 1 Lernprozess 1 Lieferkette 1 Online Gradient Descent 1 Online gradient descent 1 Operations and Supply Chains 1 Portfolio optimization 1 Portfolio selection 1 Portfolio-Management 1 Robust statistics 1 Robustes Verfahren 1 Stochastic process 1 Stochastischer Prozess 1 Streaming Analytics 1 Supply chain 1 Warehouse management 1 data-driven optimization 1 distributionally robust optimization 1 dynamic regret 1 inventory management 1 learning over time 1 service level constraints 1 two-stage stochastic program 1
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Online availability
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Undetermined 3 Free 1
Type of publication
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Article 4
Type of publication (narrower categories)
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Article in journal 3 Aufsatz in Zeitschrift 3
Language
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English 4
Author
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Aigner, Kevin-Martin 1 Batouche, Mohamed 1 Borges, C. C. H. 1 Braun, Kristin 1 Bärmann, Andreas 1 Jiang, Jiashuo 1 Liers, Frauke 1 Mennour, Rostom 1 Neto, R. F. 1 Pokutta, Sebastian 1 Schneider, Oskar 1 Sharma, Kartikey 1 Tschuppik, Sebastian 1 Wang, Shixin 1 Yamim, J. D. M. 1 Zhang, Jiawei 1
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Published in...
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Computational economics 1 INFORMS journal on optimization 1 International Journal of Applied Metaheuristic Computing (IJAMC) 1 Operations research 1
Source
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ECONIS (ZBW) 3 Other ZBW resources 1
Showing 1 - 4 of 4
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Portfolio optimization via online gradient descent and risk control
Yamim, J. D. M.; Borges, C. C. H.; Neto, R. F. - In: Computational economics 62 (2023) 1, pp. 361-381
Persistent link: https://www.econbiz.de/10014327502
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Achieving high individual service levels without safety stock? : optimal rationing policy of pooled resources
Jiang, Jiashuo; Wang, Shixin; Zhang, Jiawei - In: Operations research 71 (2023) 1, pp. 358-377
Persistent link: https://www.econbiz.de/10014308537
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Data-driven distributionally robust optimization over time
Aigner, Kevin-Martin; Bärmann, Andreas; Braun, Kristin; … - In: INFORMS journal on optimization 5 (2023) 4, pp. 376-394
Persistent link: https://www.econbiz.de/10014433491
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Novel Scalable Deep Learning Approaches for Big Data Analytics Applied to ECG Processing
Batouche, Mohamed; Mennour, Rostom - In: International Journal of Applied Metaheuristic … 9 (2018) 4, pp. 33-51
Big data analytics and deep learning are nowadays two of the most active research areas in computer science. As the data is becoming bigger and bigger, deep learning has a very important role to play in data analytics, and big data technologies will give it huge opportunities for different...
Persistent link: https://www.econbiz.de/10012042974
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