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High dimensional data classification and feature selection using support vector machines
Ghaddar, Bissan; Naoum-Sawaya, Joe - In: European journal of operational research : EJOR 265 (2018) 3, pp. 993-1004
Persistent link: https://www.econbiz.de/10011778669
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A novel embedded min-max approach for feature selection in nonlinear Support Vector Machine classification
Jiménez-Cordero, Asunción; Morales, Juan M.; Pineda, … - In: European journal of operational research : EJOR 293 (2021) 1, pp. 24-35
Persistent link: https://www.econbiz.de/10012502445
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Explaining and predicting customer churn by monotonic rules induced from ordinal data
Szeląg, Marcin; Słowiński, Roman - In: European journal of operational research : EJOR 317 (2024) 2, pp. 414-424
Persistent link: https://www.econbiz.de/10014635819
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Advanced conjoint analysis using feature selection via support vector machines
Maldonado, Sebastián; Montoya, Ricardo; Weber, Richard - In: European journal of operational research : EJOR 241 (2015) 2, pp. 564-574
Persistent link: https://www.econbiz.de/10010487970
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An integrated method based on relevance vector machine for short-term load forecasting
Ding, Jia; Wang, Maolin; Ping, Zuowei; Fu, Dongfei; … - In: European journal of operational research : EJOR 287 (2020) 2, pp. 497-510
Persistent link: https://www.econbiz.de/10012293858
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Feature importance in the age of explainable AI : case study of detecting fake news & misinformation via a multi-modal framework
Kumar, Ajay; Taylor, James W. - In: European journal of operational research : EJOR 317 (2024) 2, pp. 401-413
Persistent link: https://www.econbiz.de/10014635812
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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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Predicting product return volume using machine learning methods
Cui, Hailong; Rajagopalan, Sampath; Ward, Amy R. - In: European journal of operational research : EJOR 281 (2020) 3, pp. 612-627
Persistent link: https://www.econbiz.de/10012157401
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Optimizing predictive precision in imbalanced datasets for actionable revenue change prediction
Mahajan, Pravar Dilip; Maurya, Abhinav; Megahed, Aly; … - In: European journal of operational research : EJOR 285 (2020) 3, pp. 1095-1113
Persistent link: https://www.econbiz.de/10012239856
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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