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Search: subject:"Gradient Boosted Trees"
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1
Scalable probabilistic forecasting in retail with
gradient
boosted
trees
: a practitioner's approach
Long, Xueying
;
Bui, Quang
;
Oktavian, Grady
;
Schmidt, …
-
2025
Persistent link: https://www.econbiz.de/10015371355
Saved in:
2
Nowcasting domestic liquidity in the Philippines using machine learning algorithms
Reyes, Juan Rufino M.
- In:
The Philippine review of economics : a joint …
59
(
2022
)
2
,
pp. 1-40
Persistent link: https://www.econbiz.de/10014261311
Saved in:
3
Nowcasting domestic liquidity in the Philippines using machine learning algorithms
Reyes, Juan Rufino M.
-
2022
Persistent link: https://www.econbiz.de/10014318727
Saved in:
4
Forecasting with
gradient
boosted
trees
: augmentation, tuning, and cross-validation strategies : winning solution to the M5 uncertainty competition
Lainder, A. David
;
Wolfinger, Russell D.
- In:
International journal of forecasting
38
(
2022
)
4
,
pp. 1426-1433
Persistent link: https://www.econbiz.de/10014381101
Saved in:
5
Blending
gradient
boosted
trees
and neural networks for point and probabilistic forecasting of hierarchical time series
Nasios, Ioannis
;
Vogklis, Konstantinos
- In:
International journal of forecasting
38
(
2022
)
4
,
pp. 1448-1459
Persistent link: https://www.econbiz.de/10014381109
Saved in:
6
Forecasting with trees
Januschowski, Tim
;
Wang, Yuyang
;
Torkkola, Kari
; …
- In:
International journal of forecasting
38
(
2022
)
4
,
pp. 1473-1481
Persistent link: https://www.econbiz.de/10014381127
Saved in:
7
Mixed-integer convex nonlinear optimization with
gradient-boosted
trees
embedded
Mistry, Miten
;
Letsios, Dimitrios
;
Krennrich, Gerhard
; …
- In:
INFORMS journal on computing : JOC
33
(
2021
)
3
,
pp. 1103-1119
Persistent link: https://www.econbiz.de/10012631656
Saved in:
8
Global oil export destination prediction : a machine learning approach
Jia, Haiying
;
Adland, Roar
;
Wang, Yuchen
- In:
The energy journal
42
(
2021
)
4
,
pp. 133-152
Persistent link: https://www.econbiz.de/10013170572
Saved in:
9
Modern prediction methods : new perspectives on a common problem
Putka, Dan J.
;
Beatty, Adam S.
;
Reeder, Matthew C.
- In:
Organizational research methods : ORM
21
(
2018
)
3
,
pp. 689-732
Persistent link: https://www.econbiz.de/10011880167
Saved in:
10
Comparison of machine learning methods applied to the estimation of manufacturing cost of jet engine components
Loyer, Jean-Loup
;
Henriques, Elsa
;
Fontul, Mihail
; …
- In:
International journal of production economics
178
(
2016
),
pp. 109-119
Persistent link: https://www.econbiz.de/10011526979
Saved in:
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