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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
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A new approach to testing credit rating of financial debt issuers
O'Neill, T. J.; Penm, Jack H. W. - In: International journal of services and standards 3 (2007) 4, pp. 390-401
Persistent link: https://www.econbiz.de/10003603256
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Vorhersage kurzfristiger Aktienkursrenditen : Entwicklung eines maschinellen Lernverfahrens
Thom, Patrick René - 2012 - 1. Aufl.
Persistent link: https://www.econbiz.de/10009577201
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A two-stage procedure for forecasting freight inspections at border inspections posts using SOMs and support vector regression
Ruiz-Aguilar, Juan Jesus; Turias, I. J.; Jiménez-Come, … - In: International journal of production research 53 (2015) 7, pp. 2119-2130
Persistent link: https://www.econbiz.de/10010514665
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A unique support vector regression for improved modelling and forecasting of short-term gasoline consumption in railway systems
Azadeh, Mohammad Ali; Boskabadi, Azam; Pashapour, Shima - In: International journal of services and operations management 21 (2015) 2, pp. 217-237
Persistent link: https://www.econbiz.de/10011380081
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HHT-based classification of composite power quality events
Saxena, D.; Singh, S. N.; Verma, K. S.; Singh, Shiv K. - In: International journal of energy sector management : IJESM 8 (2014) 2, pp. 146-159
Persistent link: https://www.econbiz.de/10010379441
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Comparing the bank failure prediction performance of neural networks and support vector machines : the Turkish case
Ecer, Fatih - In: Economic research 26 (2013) 3, pp. 81-98
Persistent link: https://www.econbiz.de/10010196409
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Information processing, pattern transmission and aggregate consumption patterns in New Zealand
Farhat, Daniel - 2014
Persistent link: https://www.econbiz.de/10010349026
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Artificial neural networks and aggregate consumption patterns in New Zealand
Farhat, Daniel - 2014
Persistent link: https://www.econbiz.de/10010349036
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Process mining through artificial neural networks and support vector machines : a systematic literature review
Maita, Ana Rocío Cárdenas; Martins, Lucas Corrêa; … - In: Business process management journal 21 (2015) 6, pp. 1391-1415
Persistent link: https://www.econbiz.de/10011487995