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13
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13
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Communication and cybernetics
Journal of forecasting
European journal of operational research : EJOR
33
Computational economics
17
International journal of production research
17
Physica A: Statistical Mechanics and its Applications
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Technical report / Sonderforschungsbereich 475 Komplexitätsreduktion in Multivariaten Datenstrukturen, Universität Dortmund
8
International journal of business information systems : IJBIS
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Mathematics and Computers in Simulation (MATCOM)
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SpringerLink / Bücher
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Top : an official journal of the Spanish Society of Statistics and Operations Research
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Applied optimization and data mining : dedicated to Dr. Panos Pardalos on the occasion of his 60th birthday
4
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IEEE transactions on engineering management : EM
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INFORMS journal on computing : JOC
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International journal of economics and finance
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International journal of enterprise network management
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International journal of quality & reliability management
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ECONIS (ZBW)
13
USB Cologne (EcoSocSci)
2
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1
Predicting customer churn using grey wolf optimization-based support vector machine with principal component analysis
Kurtcan, Betul Durkaya
;
Ozcan, Tuncay
- In:
Journal of forecasting
42
(
2023
)
6
,
pp. 1329-1340
Persistent link: https://www.econbiz.de/10014338889
Saved in:
2
Fama-French three versus five, which model is better? : a machine learning approach
Diallo, Boubacar
;
Bagudu, Aliyu
;
Zhang, Qi
- In:
Journal of forecasting
42
(
2023
)
6
,
pp. 1461-1475
Persistent link: https://www.econbiz.de/10014338932
Saved in:
3
Forecasting sovereign risk in the euro area via machine learning
Belly, Guillaume
;
Boeckelmann, Lukas
;
Caicedo Graciano, …
- In:
Journal of forecasting
42
(
2023
)
3
,
pp. 657-684
Persistent link: https://www.econbiz.de/10014292224
Saved in:
4
An evolutionary cost-sensitive support vector machine for carbon price trend forecasting
Zhu, Bangzhu
;
Zhang, Jingyi
;
Wan, Chunzhuo
;
Chevallier, …
- In:
Journal of forecasting
42
(
2023
)
4
,
pp. 741-755
Persistent link: https://www.econbiz.de/10014292805
Saved in:
5
Forecasting carbon price using a multi-objective least squares support vector machine with mixture kernels
Zhu, Bangzhu
;
Ye, Shunxin
;
Wang, Ping
;
Chevallier, Julien
; …
- In:
Journal of forecasting
41
(
2022
)
1
,
pp. 100-117
Persistent link: https://www.econbiz.de/10012796273
Saved in:
6
Predicting earnings management through machine learning ensemble classifiers
Hammami, Ahmad
;
Zadeh, Mohammad Hendijani
- In:
Journal of forecasting
41
(
2022
)
8
,
pp. 1639-1660
Persistent link: https://www.econbiz.de/10013465733
Saved in:
7
Forecasting chlorophyll-a concentration using empirical wavelet transform and support vector regression
Yu, Jin-Won
;
Kim, Ju-Song
;
Jong, Yun-Chol
;
Li, Xia
; …
- In:
Journal of forecasting
41
(
2022
)
8
,
pp. 1691-1700
Persistent link: https://www.econbiz.de/10013465740
Saved in:
8
Estimating and forecasting APARCH-Skew-t model by wavelet support vector machines
Li, Yushu
- In:
Journal of forecasting
33
(
2014
)
4
,
pp. 259-269
Persistent link: https://www.econbiz.de/10010425754
Saved in:
9
Stock market simulation using support vector machines
Rosillo, Rafael
;
Giner, Javier
;
Fuente, David de la
- In:
Journal of forecasting
33
(
2014
)
6
,
pp. 488-500
Persistent link: https://www.econbiz.de/10010426237
Saved in:
10
Inflation and unemployment forecasting with genetic support vector regression
Sermpinis, Georgios
;
Stasinakis, Charalampos
; …
- In:
Journal of forecasting
33
(
2014
)
6
,
pp. 471-487
Persistent link: https://www.econbiz.de/10010426238
Saved in:
11
Forecasting volatility with support vector machine-based GARCH model
Shiyi, Chen
;
Härdle, Wolfgang
;
Jeong, Kiho
- In:
Journal of forecasting
29
(
2010
)
4
,
pp. 406-433
Persistent link: https://www.econbiz.de/10003989791
Saved in:
12
Variable selection and oversampling in the use of smooth support vector machines for predicting the default risk of companies
Härdle, Wolfgang
;
Lee, Yuh-Jye
;
Schäfer, Dorothea
; …
- In:
Journal of forecasting
28
(
2009
)
6
,
pp. 512-534
Persistent link: https://www.econbiz.de/10003886993
Saved in:
13
Traditional versus novel forecasting techniques : how much do we gain?
Fernández, Viviana
- In:
Journal of forecasting
27
(
2008
)
7
,
pp. 637-648
Persistent link: https://www.econbiz.de/10003779617
Saved in:
14
Digital pattern recognition
Fu, King S.
(
contributor
);
Cover, Thomas M.
(
contributor
)
-
1980
-
2., corr. and updated ed.
Persistent link: https://www.econbiz.de/10004657950
Saved in:
15
Digital pattern recognition
Fu, King S.
(
contributor
);
Cover, Thomas M.
(
contributor
)
-
1976
Persistent link: https://www.econbiz.de/10004658923
Saved in:
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