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  • Search: subject:"Maximum-entropy sampling"
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Subject
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Sampling 8 Stichprobenerhebung 8 Theorie 6 Theory 6 Mathematical programming 5 Mathematische Optimierung 5 Entropie 4 Entropy 4 maximum-entropy sampling 4 Algorithm 2 Algorithmus 2 D-optimality 2 Estimation theory 2 Schätztheorie 2 maximum entropy sampling 2 A-optimality 1 Artificial intelligence 1 Correlation 1 Covariance matrix 1 Environmental monitoring 1 Environmetrics 1 Fisher information matrix 1 Korrelation 1 Künstliche Intelligenz 1 Machine Learning and Data Science 1 Maximum-entropy sampling 1 NADP 1 NTN 1 Optimization 1 approximation algorithm 1 column-subset selection 1 continuous greedy 1 convex integer program 1 convex programming 1 convex relaxation 1 convex relaxations 1 curvature 1 data fusion 1 differential entropy 1 environmental monitoring 1
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Undetermined 8
Type of publication
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Article 8
Type of publication (narrower categories)
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Article in journal 8 Aufsatz in Zeitschrift 8
Language
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English 8
Author
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Lee, Jon 5 Fampa, Marcia Helena Costa 3 Chen, Zhongzhu 2 Li, Yongchun 2 Xie, Weijun 2 Al-Thani, Hessa 1 Anstreicher, Kurt M. 1 Lind, Joy 1 Qiu, Feng 1 Sviridenko, Maxim 1 Vondrák, Jan 1 Ward, Justin 1 Yao, Rui 1
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Operations research 3 INFORMS journal on computing : JOC ; charting new directions in operations research and computer science ; a journal of the Institute for Operations Research and the Management Sciences 2 INFOR : information systems and operational research 1 Mathematics of operations research 1 Operations research forum 1
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ECONIS (ZBW) 8
Showing 1 - 8 of 8
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D-optimal Data Fusion : exact and approximation algorithms
Li, Yongchun; Fampa, Marcia Helena Costa; Lee, Jon; … - In: INFORMS journal on computing : JOC ; charting new … 36 (2024) 1, pp. 97-120
Persistent link: https://www.econbiz.de/10014474859
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Technical note: masking Anstreicher’s linx bound for improved entropy bounds
Chen, Zhongzhu; Fampa, Marcia Helena Costa; Lee, Jon - In: Operations research 72 (2024) 2, pp. 591-603
Persistent link: https://www.econbiz.de/10014520802
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On computing with some convex relaxations for the maximum-entropy sampling problem
Chen, Zhongzhu; Fampa, Marcia Helena Costa; Lee, Jon - In: INFORMS journal on computing : JOC ; charting new … 35 (2023) 2, pp. 368-385
Persistent link: https://www.econbiz.de/10014327635
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Best principal submatrix selection for the maximum entropy sampling problem : scalable algorithms and performance guarantees
Li, Yongchun; Xie, Weijun - In: Operations research 72 (2024) 2, pp. 493-513
Persistent link: https://www.econbiz.de/10014520784
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Efficient solution of maximum-entropy sampling problems
Anstreicher, Kurt M. - In: Operations research 68 (2020) 6, pp. 1826-1835
Persistent link: https://www.econbiz.de/10012392163
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An R package for generating covariance matrices for maximum-entropy sampling from precipitation chemistry data
Al-Thani, Hessa; Lee, Jon - In: Operations research forum 1 (2020) 3, pp. 1-21
Persistent link: https://www.econbiz.de/10012306352
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Generalized maximum-entropy sampling
Lee, Jon; Lind, Joy - In: INFOR : information systems and operational research 58 (2020) 2, pp. 168-181
Persistent link: https://www.econbiz.de/10012221402
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Optimal approximation for submodular and supermodular optimization with bounded curvature
Sviridenko, Maxim; Vondrák, Jan; Ward, Justin - In: Mathematics of operations research 42 (2017) 4, pp. 1197-1218
Persistent link: https://www.econbiz.de/10011773315
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