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~subject:"Support vector regression"
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Support vector regression
Mustererkennung
628
Pattern recognition
628
Prognoseverfahren
325
Forecasting model
316
Theorie
286
Theory
276
Artificial intelligence
131
Künstliche Intelligenz
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Regression analysis
112
Regressionsanalyse
112
Support vector machine
112
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support vector machine
90
Classification
78
Support Vector Machine
72
Data Mining
70
Data mining
69
Kreditwürdigkeit
69
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67
Credit rating
61
Machine learning
46
Insolvenz
41
Algorithm
40
Algorithmus
40
Insolvency
40
support vector machines
35
Support vector machines
34
SVM
32
Schätzung
32
machine learning
32
Börsenkurs
28
Estimation
28
Time series analysis
28
Zeitreihenanalyse
28
Share price
27
Kreditrisiko
26
Credit risk
25
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24
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Sermpinis, Georgios
3
Stasinakis, Charalampos
3
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2
Theofilatos, Konstantinos
2
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1
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1
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1
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1
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1
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1
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1
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1
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1
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1
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1
Dai, Sheng
1
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1
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1
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1
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1
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1
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1
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1
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1
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1
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1
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1
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1
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Computational economics
5
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3
International journal of forecasting
2
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1
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1
Applied operations research and financial modelling in energy : practical applications and implications
1
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1
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1
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1
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1
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1
Journal of international financial markets, institutions & money
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ECONIS (ZBW)
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Volatility forecasting using support vector regression and a hybrid genetic algorithm
Santamaría-Bonfil, Guillermo
;
Frausto-Solís, Juan
; …
- In:
Computational economics
45
(
2015
)
1
,
pp. 111-133
Persistent link: https://www.econbiz.de/10010511334
Saved in:
2
Prediction of cutting tool life based on Taguchi approach with fuzzy logic and support vector regression techniques
Gokulachandran, Jaganathan
;
Mohandas, K.
- In:
International journal of quality & reliability management
32
(
2015
)
3
,
pp. 270-290
Persistent link: https://www.econbiz.de/10010531017
Saved in:
3
Exchange rate forecasting and support vector regressions
Gkonkas, Periklēs
- In:
Economics & finance notes
2
(
2013
)
1/2
,
pp. 1-13
Persistent link: https://www.econbiz.de/10010426277
Saved in:
4
Support vector regression for loss given default modelling
Yao, Xiao
;
Crook, Jonathan N.
;
Andreeva, Galina
- In:
European journal of operational research : EJOR
240
(
2015
)
2
,
pp. 528-538
Persistent link: https://www.econbiz.de/10010487012
Saved in:
5
Modeling, forecasting and trading the EUR exchange rates with hybrid rolling genetic algorithms : support vector regression forecast combinations
Sermpinis, Georgios
;
Stasinakis, Charalampos
; …
- In:
European journal of operational research : EJOR
247
(
2015
)
3
,
pp. 831-846
Persistent link: https://www.econbiz.de/10011386316
Saved in:
6
Stochastic and genetic neural network combinations in trading and hybrid time-varying leverage effects
Sermpinis, Georgios
;
Stasinakis, Charalampos
;
Dunis, …
- In:
Journal of international financial markets, …
30
(
2014
),
pp. 21-54
Persistent link: https://www.econbiz.de/10011293055
Saved in:
7
Price and volatility forecasting in electricity with support vector regression and random forest
Kara, Mahmut
;
Atici, Kazim Baris
;
Ulucan, Aydin
- In:
Applied operations research and financial modelling in …
,
(pp. 101-124)
.
2021
Persistent link: https://www.econbiz.de/10012660732
Saved in:
8
Machine learning approaches to testing institutional hypotheses : the case of Acemoglu, Johnson, and Robinson (2001)
Diallo, Boubacar
- In:
Empirical economics : a quarterly journal of the …
62
(
2022
)
5
,
pp. 2587-2600
Persistent link: https://www.econbiz.de/10013197346
Saved in:
9
Forecasting financial returns volatility : a GARCH-SVR model
Sun, Hao
;
Yu, Bo
- In:
Computational economics
55
(
2020
)
2
,
pp. 451-471
Persistent link: https://www.econbiz.de/10012223641
Saved in:
10
A machine learning approach to univariate time series forecasting of quarterly earnings
Fischer, Jan Alexander
;
Pohl, Philipp
;
Ratz, Dietmar
- In:
Review of quantitative finance and accounting
55
(
2020
)
4
,
pp. 1163-1179
Persistent link: https://www.econbiz.de/10012304132
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