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J-GLOBAL ID：201902249793123929
Reference number：19A2292891
Improved Algorithms for Online Load Balancing
オンライン負荷分散のアルゴリズムの改善
Author (5)：
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Material：
Volume：
2019
Issue：
AL-174
Page：
Vol.2019-AL-174,No.3,1-7 (WEB ONLY)
Publication year：
Sep. 10, 2019
JST Material Number：
U0451A
Document type：
Proceedings
Article type：
原著論文
Country of issue：
Japan (JPN)
Language：
ENGLISH (EN)
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,
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Semi thesaurus term：
Thesaurus term/Semi thesaurus term
Keywords indexed to the article.
All keywords is available on JDreamIII(charged).
On J-GLOBAL, this item will be available after more than half a year after the record posted. In addtion, medical articles require to login to MyJ-GLOBAL.
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JST classification (2)：
JST classification
Category name(code) classified by JST.
System optimization methods
, Artificial intelligence
Reference (12)：
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Jacob Abernethy, Peter L Bartlett, and Elad Hazan. Blackwell approachability and no-regret learning are equivalent. In Proceedings of the 24th Annual Conference on Learning Theory, pages 27-46, 2011.
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Yossi Azar. On-line load balancing. In Online Algorithms, pages 178-195. Springer, 1998.
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David Blackwell et al. An analog of the minimax theorem for vector payoffs. Pacific Journal of Mathematics, 6(1):1-8, 1956.
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Nicolo Cesa-Bianchi and Gabor Lugosi. Prediction, learning, and games. Cambridge university press, 2006.
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Eyal Even-Dar, Robert Kleinberg, Shie Mannor, and Yishay Mansour. Online learning for global cost functions. In COLT, 2009.
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