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Application of optimized machine learning techniques for prediction of occupational accidents
Sarkar, Sobhan; Vinay, Sammangi; Raj, Rahul; Maiti, J.; … - In: Computers & operations research : and their … 106 (2019), pp. 210-224
Persistent link: https://www.econbiz.de/10012014413
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Forecasting inflection points : hybrid methods with multiscale machine learning algorithms
Chevallier, Julien; Zhu, Bangzhu; Zhang, Lyuyuan - In: Computational economics 57 (2021) 2, pp. 537-575
Persistent link: https://www.econbiz.de/10012486931
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Predict stock prices using supervised learning algorithms and particle swarm optimization algorithm
Bazrkar, Mohammad Javad; Hosseini, Soodeh - In: Computational economics 62 (2023) 1, pp. 165-186
Persistent link: https://www.econbiz.de/10014327292
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Robust and distributionally robust optimization models for linear support vector machine
Faccini, Daniel; Maggioni, Francesca; Potra, Florian A. - In: Computers & operations research : and their … 147 (2022), pp. 1-15
Persistent link: https://www.econbiz.de/10013415854
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Tuning hyperparameters of a SVM-based water demand forecasting system through parallel global optimization
Candelieri, Antonio; Giordani, Ilaria; Archetti, Francesco - In: Computers & operations research : and their … 106 (2019), pp. 202-209
Persistent link: https://www.econbiz.de/10012014411
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Support vector machines maximizing geometric margins for multi-class classification
Tatsumi, Keiji; Tanino, Tetsuzo - In: Top : transactions in operations research 22 (2014) 3, pp. 815-840
Persistent link: https://www.econbiz.de/10010437131
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Incremental accelerated gradient methods for SVM classification : study of the constrained approach
Couellan, Nicolas; Jan, Sophie - In: Computational Management Science : CMS 11 (2014) 4, pp. 419-444
Persistent link: https://www.econbiz.de/10010437148
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Margin optimal classification trees
D'Onofrio, Federico; Grani, Giorgio; Monaci, Marta; … - In: Computers & operations research : an international journal 161 (2024), pp. 1-19
Persistent link: https://www.econbiz.de/10014559221
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A mixed integer linear programming support vector machine for cost-effective group feature selection : branch-cut-and-price approach
Lee, In Gyu; Yoon, Sang Won; Won, Daehan - In: European journal of operational research : EJOR 299 (2022) 3, pp. 1055-1068
Persistent link: https://www.econbiz.de/10013207225
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A novel robust optimization model for nonlinear Support Vector Machine
Maggioni, Francesca; Spinelli, Andrea - In: European journal of operational research : EJOR 322 (2025) 1, pp. 237-253
Persistent link: https://www.econbiz.de/10015410212