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Search: subject:"long short-term memory"
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Machine learning
Forecasting model
69
Prognoseverfahren
69
Neural networks
54
Neuronale Netze
54
Theorie
38
Theory
38
long short-term memory
31
Artificial intelligence
26
Künstliche Intelligenz
26
Long short-term memory
22
Learning process
21
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21
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19
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19
deep learning
19
Deep learning
18
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14
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13
Share price
13
Portfolio selection
12
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12
Aktienmarkt
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Capital income
11
Kapitaleinkommen
11
LSTM
11
Stock market
11
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11
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11
recurrent neural networks
9
machine learning
8
China
7
Long Short-Term Memory
7
Long short-term memory (LSTM)
6
Aktienindex
5
Mustererkennung
5
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forecasting
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Ryu, Doojin
2
Biehl, Michael
1
Büyüktahtakın, İ. Esra
1
Chen, Wei
1
Cho, Hoon
1
Chu, Gang
1
Gao, Ying
1
Grossman, Irina
1
Htet Htet Htun
1
Jia, Lifen
1
Kim, Hyeongjun
1
Park, Daehyeon
1
Petkov, Nicolai
1
Saumya, Sunil
1
Shen, Dehua
1
Singh, Jyoti Prakash
1
Temple, Jeromey
1
Wilson, Tom
1
Wu, Qi
1
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1
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ECONIS (ZBW)
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1
Forecasting relative returns for S&P 500 stocks using machine learning
Htet Htet Htun
;
Biehl, Michael
;
Petkov, Nicolai
- In:
Financial innovation : FIN
10
(
2024
),
pp. 1-16
multiple previous relative returns and apply the random forest (RF), support vector machine (SVM), and
long
short-term
memory
…
Persistent link: https://www.econbiz.de/10014547210
Saved in:
2
Forecasting stock market dynamics using bidirectional
long
short-term
memory
Park, Daehyeon
;
Ryu, Doojin
- In:
Romanian journal of economic forecasting
24
(
2021
)
2
,
pp. 22-34
Persistent link: https://www.econbiz.de/10012587123
Saved in:
3
Learning optimal solutions via an LSTM-optimization framework
Yilmaz, Dogacan
;
Büyüktahtakın, İ. Esra
- In:
Operations research forum
4
(
2023
)
2
,
pp. 1-40
Persistent link: https://www.econbiz.de/10014330454
Saved in:
4
Forecasting small area populations with
long
short-term
memory
networks
Grossman, Irina
;
Wilson, Tom
;
Temple, Jeromey
- In:
Socio-economic planning sciences : the international …
88
(
2023
),
pp. 1-13
Persistent link: https://www.econbiz.de/10014380378
Saved in:
5
Corporate bankruptcy prediction using machine learning methodologies with a focus on sequential data
Kim, Hyeongjun
;
Cho, Hoon
;
Ryu, Doojin
- In:
Computational economics
59
(
2022
)
3
,
pp. 1231-1249
Persistent link: https://www.econbiz.de/10013169352
Saved in:
6
Spam review detection using LSTM autoencoder : an unsupervised approach
Saumya, Sunil
;
Singh, Jyoti Prakash
- In:
Electronic commerce research
22
(
2022
)
1
,
pp. 113-133
Persistent link: https://www.econbiz.de/10013169416
Saved in:
7
Machine learning model for Bitcoin exchange rate prediction using economic and technology determinants
Chen, Wei
;
Xu, Huilin
;
Jia, Lifen
;
Gao, Ying
- In:
International journal of forecasting
37
(
2021
)
1
,
pp. 28-43
Persistent link: https://www.econbiz.de/10012692566
Saved in:
8
The role of investor attention in predicting stock prices : the
long
short-term
memory
networks perspective
Zhang, Yongjie
;
Chu, Gang
;
Shen, Dehua
- In:
Finance research letters
38
(
2021
),
pp. 1-11
Persistent link: https://www.econbiz.de/10012487952
Saved in:
9
Capturing deep tail risk via sequential learning of quantile dynamics
Wu, Qi
;
Yan, Xing
- In:
Journal of economic dynamics & control
109
(
2019
),
pp. 1-17
Persistent link: https://www.econbiz.de/10012314027
Saved in:
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