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~subject:"Neural networks"
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ECONIS (ZBW)
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1
A comparison of AdaBoost algorithms for time series forecast combination
Barrow, Devon K.
;
Crone, Sven F.
- In:
International journal of forecasting
32
(
2016
)
4
,
pp. 1103-1119
Persistent link: https://www.econbiz.de/10011622109
Saved in:
2
Machine learning-based classifiers
ensemble
for credit risk assessment
Pandey, Trilok Nath
;
Jagadev, Alok Kumar
;
Choudhury, D.
; …
- In:
International journal of electronic finance : IJEF
7
(
2013
)
3/4
,
pp. 227-249
Persistent link: https://www.econbiz.de/10010400393
Saved in:
3
Evaluating the predictive power of an
ensemble
model for economic success of Indian movies
Gupta, Samrat
;
Kumar, Saurabh
;
Kumar, Pradeep
- In:
The journal of prediction markets
10
(
2016
)
1
,
pp. 30-52
Persistent link: https://www.econbiz.de/10011656562
Saved in:
4
Predicting mortgage early delinquency with machine learning methods
Chen, Shunqin
;
Guo, Zhengfeng
;
Zhao, Xinlei
- In:
European journal of operational research : EJOR
290
(
2021
)
1
,
pp. 358-372
Persistent link: https://www.econbiz.de/10012436411
Saved in:
5
Exchange rate forecasting using
ensemble
modeling for better policy implications
Tripathi, Manas
;
Kumar, Saurabh
;
Inani, Sarveshwar Kumar
- In:
Journal of time series econometrics
13
(
2021
)
1
,
pp. 43-71
Persistent link: https://www.econbiz.de/10012437825
Saved in:
6
A combination of clustering-based under-sampling with
ensemble
methods for solving imbalanced class problem in intelligent systems
Shahabadi, Mohammad Saleh Ebrahimi
;
Tabrizchi, Hamed
; …
- In:
Technological forecasting & social change : an …
169
(
2021
),
pp. 1-17
Persistent link: https://www.econbiz.de/10012804555
Saved in:
7
Machine learning-based time series prediction at Brazilian stocks exchange
Gularte, Ana Paula dos Santos
;
Guimarães Filho, …
-
2024
Persistent link: https://www.econbiz.de/10015144021
Saved in:
8
Artificial neural network and decision tree-based modelling of non-prosperity of companies
Durica, Marek
;
Frnda, Jaroslav
;
Svabova, Lucia
- In:
Equilibrium : quarterly journal of economics and …
18
(
2023
)
4
,
pp. 1105-1131
Persistent link: https://www.econbiz.de/10014492220
Saved in:
9
Testing the Martingale Difference Hypothesis Using Neural Network Approximations
Kapetanios, George
;
Blake, Andrew P.
-
School of Economics and Finance, Queen Mary
-
2007
,b) and
boosting
. We carry out a Monte Carlo study of the properties of the new tests and find that they have superior power …
Persistent link: https://www.econbiz.de/10005106462
Saved in:
10
Response versus gradient
boosting
trees, GLMs and neural networks under Tweedie loss and log-link
Hainaut, Donatien
;
Trufin, Julien
;
Denuit, Michel
- In:
Scandinavian actuarial journal
2022
(
2022
)
10
,
pp. 841-866
Persistent link: https://www.econbiz.de/10013491040
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