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J-GLOBAL ID：201902261010116019
Reference number：19A0418950
An Efficient Branch-and-Bound Algorithm for Submodular Function Maximization
劣モジュラ関数最大化問題に対する効率的な分枝限定法
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Author (6)：
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Material：
Volume：
118
Issue：
284(IBISML2018 44-104)(Web)
Page：
183-190 (WEB ONLY)
Publication year：
Oct. 29, 2018
JST Material Number：
S0532B
ISSN：
0913-5685
Document type：
Proceedings
Article type：
原著論文
Country of issue：
Japan (JPN)
Language：
JAPANESE (JA)
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Semi thesaurus term：
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Keywords indexed to the article.
All keywords is available on JDreamIII(charged).
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JST classification
Category name(code) classified by JST.
Mathematical programmings
Reference (19)：
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W. Chen. and Y. Chen, and K. Weinberger, ′′Filtered search for submodular maximization with controllable approximation bounds,′′ Proceedings of the 18th International Conference on Artificial Intelligence and Statistics (AISTATS’15), Vol.38, pp.156-164, San Diego, USA, May. 2015.
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V. Chvatal, ′′Linear Programming,′′ W. H. Freeman and Company, New York and Oxford, 1983.
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A. Das, and D. Kempe, ′′Submodular meets Spectral: Greedy Algorithms for Subset Selection, Sparse Approximation and Dictionary Selection,′′ Proceedings of the 28th International Conference on Machine Learning (ICML’11), pp.1057-1064, Washington, USA, 2011.
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D. Golovin, and A. Krause, ′′Adaptive submodularity: Theory and applications in active learning and stochastic optimization,′′ Journal of Artificial Intelligence Research, Vol.42, pp.427-486, 2011.
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A. Krause, and D. Golovin, ′′Submodular function maximization,′′ Tractability: Practical Approaches to Hard Problems, Cambridge University Press, 2014.
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