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ECONIS (ZBW)
613
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1
Forecasting of real GDP growth using machine learning models : gradient boosting and random forest approach
Yoon, Jaehyun
- In:
Computational economics
57
(
2021
)
1
,
pp. 247-265
Persistent link: https://www.econbiz.de/10012486898
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2
Machine learning and sampling scheme : an empirical study of money laundering detection
Zhang, Yan
;
Trubey, Peter
- In:
Computational economics
54
(
2019
)
3
,
pp. 1043-1063
Persistent link: https://www.econbiz.de/10012134506
Saved in:
3
Prediction of unemployment rates with time series and machine learning techniques
Katris, Christos
- In:
Computational economics
55
(
2020
)
2
,
pp. 673-706
Persistent link: https://www.econbiz.de/10012223659
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4
Using a genetic algorithm to improve recurrent reinforcement learning for equity trading
Zhang, Jin
;
Maringer, Dietmar G.
- In:
Computational economics
47
(
2016
)
4
,
pp. 551-567
Persistent link: https://www.econbiz.de/10011712464
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5
Simple agents, intelligent markets
Jamal, Karim
;
Maier, Michael S.
;
Sunder, Shyam
- In:
Computational economics
49
(
2017
)
4
,
pp. 653-675
Persistent link: https://www.econbiz.de/10011762170
Saved in:
6
Human and artificial agents in a crash-prone financial market
Feldman, Todd
;
Friedman, Daniel
- In:
Computational economics
36
(
2010
)
3
,
pp. 201-229
Persistent link: https://www.econbiz.de/10008903154
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7
The role of intelligence in time series properties
Yeh, Chia-hsuan
- In:
Computational economics
30
(
2007
)
2
,
pp. 95-123
Persistent link: https://www.econbiz.de/10003702531
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8
Predict stock prices using supervised learning algorithms and particle swarm optimization algorithm
Bazrkar, Mohammad Javad
;
Hosseini, Soodeh
- In:
Computational economics
62
(
2023
)
1
,
pp. 165-186
Persistent link: https://www.econbiz.de/10014327292
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9
A synthetic data-plus-features driven approach for portfolio optimization
Pagnoncelli, Bernardo K.
;
Ramírez, Domingo
;
Rahimian, Hamed
- In:
Computational economics
62
(
2023
)
1
,
pp. 187-204
Persistent link: https://www.econbiz.de/10014327294
Saved in:
10
A machine learning approach for flagging incomplete bid-rigging cartels
Wallimann, Hannes
;
Imhof, David
;
Huber, Martin
- In:
Computational economics
62
(
2023
)
4
,
pp. 1669-1720
Persistent link: https://www.econbiz.de/10014437552
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