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1
Data-driven hospital admission control : a
learning
approach
Zhalechian, Mohammad
;
Keyvanshokooh, Esmaeil
;
Shi, Cong
; …
- In:
Operations research
71
(
2023
)
6
,
pp. 2111-2129
Persistent link: https://www.econbiz.de/10014445029
Saved in:
2
A new algorithm for the open-pit mine production scheduling problem
Chicoisne, Renaud
;
Espinoza, Daniel
;
Goycoolea, Marcos
; …
- In:
Operations research
60
(
2012
)
3
,
pp. 517-528
Persistent link: https://www.econbiz.de/10009575377
Saved in:
3
The big data newsvendor : practical insights from machine
learning
Ban, Gah-Yi
;
Rudin, Cynthia
- In:
Operations research
67
(
2019
)
1
,
pp. 90-108
Persistent link: https://www.econbiz.de/10012000794
Saved in:
4
A model-based embedding technique for segmenting customers
Jagabathula, Srikanth
;
Subramanian, Lakshminarayanan
; …
- In:
Operations research
66
(
2018
)
5
,
pp. 1247-1267
Persistent link: https://www.econbiz.de/10011932437
Saved in:
5
Exploiting big data in logistics risk assessment via Bayesian nonparametrics
Shang, Yan
;
Dunson, David B.
;
Song, Jing-Sheng
- In:
Operations research
65
(
2017
)
6
,
pp. 1574-1588
Persistent link: https://www.econbiz.de/10011777806
Saved in:
6
Sequential interdiction with incomplete information and
learning
Borrero, Juan S.
;
Prokopyev, Oleg
;
Sauré, Denis
- In:
Operations research
67
(
2019
)
1
,
pp. 72-89
Persistent link: https://www.econbiz.de/10012000792
Saved in:
7
Adaptive execution : exploration and
learning
of price impact
Park, Beomsoo
;
Van Roy, Benjamin
- In:
Operations research
63
(
2015
)
5
,
pp. 1058-1076
Persistent link: https://www.econbiz.de/10011397801
Saved in:
8
A finite time analysis of temporal difference
learning
with linear function approximation
Bhandari, Jalaj
;
Russo, Daniel
;
Singal, Raghav
- In:
Operations research
69
(
2021
)
3
,
pp. 950-973
Persistent link: https://www.econbiz.de/10012546910
Saved in:
9
Private sequential
learning
Tsitsiklis, John N.
;
Xu, Kuang
;
Xu, Zhi
- In:
Operations research
69
(
2021
)
5
,
pp. 1575-1590
Persistent link: https://www.econbiz.de/10012661070
Saved in:
10
Optimal online
learning
for nonlinear belief models using discrete priors
Han, Weidong
;
Powell, Warren B.
- In:
Operations research
68
(
2020
)
5
,
pp. 1538-1556
Persistent link: https://www.econbiz.de/10012301569
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