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Search: subject:"maximum-entropy sampling"
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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
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2
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2
D-optimality
2
Estimation theory
2
Schätztheorie
2
maximum entropy sampling
2
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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
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Maximum-entropy sampling
1
NADP
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NTN
1
Optimization
1
approximation algorithm
1
column-subset selection
1
continuous greedy
1
convex integer program
1
convex programming
1
convex relaxation
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convex relaxations
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curvature
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data fusion
1
differential entropy
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environmental monitoring
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8
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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
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Ward, Justin
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Yao, Rui
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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
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Operations research forum
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ECONIS (ZBW)
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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
Saved in:
2
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
Saved in:
3
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
Saved in:
4
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
Saved in:
5
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
Saved in:
6
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
Saved in:
7
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
Saved in:
8
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
Saved in:
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