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Applications of machine learning methods in traffic crash severity modelling : current status and future directions
Wen, Xiao; Xie, Yuanchang; Jiang, Liming; Pu, Ziyuan; … - In: Transport reviews : a transnational transdisciplinary … 41 (2021) 6, pp. 855-879
Persistent link: https://www.econbiz.de/10012652882
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Machine learning applications in activity-travel behaviour research : a review
Koushik, Anil; Manoj, M.; Nezamuddin, N. - In: Transport reviews : a transnational transdisciplinary … 40 (2020) 3, pp. 288-311
Persistent link: https://www.econbiz.de/10012198300
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Prediction of unemployment rates with time series and machine learning techniques
Katris, Christos - In: Computational economics 55 (2020) 2, pp. 673-706
Persistent link: https://www.econbiz.de/10012223659
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Profit-based churn prediction based on Minimax Probability Machines
Maldonado, Sebastián; López, Julio; Vairetti, Carla - In: European journal of operational research : EJOR 284 (2020) 1, pp. 273-284
Persistent link: https://www.econbiz.de/10012238668
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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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Machine-learning classifiers for imbalanced tornado data
Trafalis, Theodore B.; Adrianto, Indra; Richman, Michael B. - In: Computational Management Science : CMS 11 (2014) 4, pp. 403-418
Persistent link: https://www.econbiz.de/10010437151
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Cost-sensitive probabilistic predictions for support vector machines
Benítez-Peña, Sandra; Blanquero, Rafael; Carrizosa, Emilio - In: European journal of operational research : EJOR 314 (2024) 1, pp. 268-279
Persistent link: https://www.econbiz.de/10014456876
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An application of support vector machines to sales forecasting under promotions
Di Pillo, Gianni; Latorre, Vittorio; Lucidi, Stefano; … - In: 4OR : a quarterly journal of operations research 14 (2016) 3, pp. 309-325
Persistent link: https://www.econbiz.de/10011698516
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The applications of artificial neural networks, support vector machines, and long-short term memory for stock market prediction
Chhajer, Parshv; Shah, Manan; Kshirsagar, Ameya - In: Decision analytics journal 2 (2022)
The future is unknown and uncertain, but there are ways to predict future events and reap the rewards safely. One such opportunity is the application of machine learning and artificial intelligence for stock market prediction. The stock market is turbulent, yet using artificial intelligence to...
Persistent link: https://www.econbiz.de/10013163098
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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