Search Results - subject:"Support vector regression"

An integrated data mining framework for organizational resilience assessment and quality management optimization in trauma centers

Tavana, Madjid; Nazari-Shirkouhi, Salman; Mashayekhi, Amir - In: Operations research forum 3 (2022) 1, pp. 1-33

Persistent link: https://www.econbiz.de/10013173161

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

Modeling and forecasting US presidential election using learning algorithms

Zolghadr, Mohammad; Niaki, Seyed Armin Akhavan; Niaki, … - In: Journal of Industrial Engineering International 14 (2018) 3, pp. 491-500

identify a reliable model, artificial neural networks (ANN) and support vector regression (SVR) models are compared based on …

Persistent link: https://www.econbiz.de/10011995849

Financial time series forecasting using empirical mode decomposition and support vector regression

Nava, Noemi; Di Matteo, Tiziana; Aste, Tomaso - In: Risks 6 (2018) 1, pp. 1-21

vector regression (SVR). This methodology is based on the idea that the forecasting task is simplified by using as input for …We introduce a multistep-ahead forecasting methodology that combines empirical mode decomposition (EMD) and support …

Persistent link: https://www.econbiz.de/10011996563

Data Driven Value-at-Risk Forecasting using a SVR-GARCH-KDE Hybrid

Lux, Marius; Härdle, Wolfgang Karl; Lessmann, Stefan - 2018

modeled via support vector regression (SVR) where the volatility model is motivated by the standard generalized autoregressive …

Persistent link: https://www.econbiz.de/10012433150

Modeling and forecasting US presidential election using learning algorithms

Zolghadr, Mohammad; Niaki, Seyed Armin Akhavan; Niaki, … - In: Journal of industrial engineering international 14 (2018) 3, pp. 491-500

identify a reliable model, artificial neural networks (ANN) and support vector regression (SVR) models are compared based on …

Persistent link: https://www.econbiz.de/10011887885

Financial time series forecasting using empirical mode decomposition and support vector regression

Nava, Noemi; Di Matteo, Tiziana; Aste, Tomaso - In: Risks : open access journal 6 (2018) 1, pp. 1-21

Persistent link: https://www.econbiz.de/10011811500

Support vector frontiers : a new approach for estimating production functions through support vector machines

Valero-Carreras, Daniel; Aparicio, Juan; Guerrero, Nadia M. - In: Omega : the international journal of management science 104 (2021), pp. 1-19

Persistent link: https://www.econbiz.de/10012648547

Predicting the printed circuit board cycle time of surface-mount-technology production lines using a symbiotic organism search-based support vector regression ensemble

Li, Debiao; Chen, Siping; Chiong, Raymond; Wang, Liting; … - In: International journal of production research 59 (2021) 23, pp. 7246-7265

Persistent link: https://www.econbiz.de/10012697498

Approximate dynamic programming for the military aeromedical evacuation dispatching, preemption-rerouting, and redeployment problem

Jenkins, Phillip R.; Robbins, Matthew J.; Lunday, Brian J. - In: European journal of operational research : EJOR 290 (2021) 1, pp. 132-143

Persistent link: https://www.econbiz.de/10012435804