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Search: subject:"Gradient boosting"
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Forecasting model
68
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68
Artificial intelligence
54
Künstliche Intelligenz
54
gradient boosting
43
machine learning
36
Gradient boosting
34
Machine learning
28
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25
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25
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22
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22
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14
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9
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7
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6
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6
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Bourassa, Steven C.
4
Hoesli, Martin
4
Mayer, Michael
4
Scognamiglio, Donato
4
Simon, Thorsten
4
Umlauf, Nikolaus
4
Zeileis, Achim
4
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3
Do, Xuan Anh
3
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3
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3
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3
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3
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3
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3
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2
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2
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2
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2
Liu, Jiaming
2
Lloyd, James Robert
2
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2
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2
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Erasmus University Rotterdam, Econometric Institute
2
Faculteit der Economische Wetenschappen, Erasmus Universiteit Rotterdam
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6
European journal of operational research : EJOR
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ECONIS (ZBW)
124
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RePEc
8
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131
Análisis de la utilidad del algoritmo
Gradient
Boosting
Machine (GBM) en la predicción del fracaso empresarial
Pozuelo Campillo, José
;
Martínez Vargas, Julián
; …
- In:
Spanish journal of finance and accounting
47
(
2018
)
179
,
pp. 507-532
Persistent link: https://www.econbiz.de/10011980484
Saved in:
132
Fundamental factor models using machine learning
Sugitomo, Seisuke
;
Minami, Shotaro
- In:
Journal of mathematical finance
8
(
2018
)
1
,
pp. 111-118
Persistent link: https://www.econbiz.de/10011846158
Saved in:
133
Improving corporate bond recovery rate prediction using multi-factor support vector regressions
Nazemi, Abdolreza
;
Heidenreich, Konstantin
;
Fabozzi, …
- In:
European journal of operational research : EJOR
271
(
2018
)
2
,
pp. 664-675
Persistent link: https://www.econbiz.de/10011890354
Saved in:
134
Deep neural networks, gradient-boosted trees, random forests : statistical arbitrage on the S&P 500
Krauss, Christopher
;
Do, Xuan Anh
;
Huck, Nicolas
- In:
European journal of operational research : EJOR
259
(
2017
)
2
,
pp. 689-702
Persistent link: https://www.econbiz.de/10011661795
Saved in:
135
Corporate bankruptcy prediction : a high dimensional analysis
Jones, Stewart
- In:
Review of accounting studies
22
(
2017
)
3
,
pp. 1366-1422
Persistent link: https://www.econbiz.de/10011743315
Saved in:
136
Regularised
gradient
boosting
for financial time-series modelling
Agapitos, Alexandros
;
Brabazon, Anthony
;
O'Neill, Michael
- In:
Computational Management Science : CMS
14
(
2017
)
3
,
pp. 367-391
Persistent link: https://www.econbiz.de/10011710842
Saved in:
137
Estimating credit risk parameters using ensemble learning methods : an empirical study on loss given default
Sun, Han Sheng
;
Jin, Zi
- In:
The journal of credit risk : published quarterly by …
12
(
2016
)
3
,
pp. 43-69
Persistent link: https://www.econbiz.de/10011643773
Saved in:
138
A semi-empirical approach using
gradient
boosting
and kk-nearest neighbors regression for GEFCom2014 probabilistic solar power forecasting
Huang, Jing
;
Perry, Matthew
- In:
International journal of forecasting
32
(
2016
)
3
,
pp. 1081-1086
Persistent link: https://www.econbiz.de/10011622043
Saved in:
139
GEFCom2014 : probabilistic solar and wind power forecasting using a generalized additive tree ensemble approach
Nagy, Gábor I.
;
Barta, Gergő
;
Kazi, Sándor
; …
- In:
International journal of forecasting
32
(
2016
)
3
,
pp. 1087-1093
Persistent link: https://www.econbiz.de/10011622053
Saved in:
140
A
gradient
boosting
approach to the Kaggle load forecasting competition
Ben Taieb, Souhaib
;
Hyndman, Rob J.
- In:
International journal of forecasting
30
(
2014
)
2
,
pp. 382-394
Persistent link: https://www.econbiz.de/10010510897
Saved in:
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