Record link: 
http://hdl.handle.net/20.500.12708/213518
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Title: 
Active Learning with Alternating Acquisition Functions: Balancing the Exploration-Exploitation Dilemma
en
Citation: 
Jung, C. D., Salehi, S., & Schmeink, A. (2024). Active Learning with Alternating Acquisition Functions: Balancing the Exploration-Exploitation Dilemma. In 2024 IEEE International Conference on Big Data (BigData) (pp. 5755–5764). https://doi.org/10.1109/BigData62323.2024.10825625
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Publisher DOI: 
10.1109/BigData62323.2024.10825625
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Publication Type: 
Inproceedings - Full-Paper Contribution
en
Language: 
English
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Authors: 
Jung, Cedric Daniel 
Salehi, Shirin 
Schmeink, Anke 
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Organisational Unit: 
E376-02 - Forschungsbereich Komplexe Dynamische Systeme 
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Published in: 
2024 IEEE International Conference on Big Data (BigData) 
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ISBN: 
979-8-3503-6248-0
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DOI of the book: 
10.1109/BigData62323.2024
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Date (published): 
2024
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Event name: 
2024 IEEE International Conference on Big Data (BigData) 
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Event date: 
15-Dec-2024 - 18-Dec-2024
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Event place: 
Washin, United States of America (the)
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Number of Pages: 
10
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Peer reviewed: 
Yes
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Keywords: 
active learning; exploration-exploitation dilemma; data efficiency
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Research Areas: 
Mathematical and Algorithmic Foundations: 20%
Computer Science Foundations: 60%
Modeling and Simulation: 20%
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Science Branch: 
2020 - Elektrotechnik, Elektronik, Informationstechnik: 100%
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Appears in Collections:
Conference Paper

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