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Clustering categories in support vector machines
Carrizosa, Emilio; Nogales-Gómez, Amaya; Romero … - In: Omega : the international journal of management science 66 (2017), pp. 28-37
Persistent link: https://www.econbiz.de/10011598956
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Optimal randomized classification trees
Blanquero, Rafael; Carrizosa, Emilio; Molero-Río, Cristina - In: Computers & operations research : and their … 132 (2021), pp. 1-13
Persistent link: https://www.econbiz.de/10012595707
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Mathematical optimization in classification and regression trees
Carrizosa, Emilio; Molero-Río, Cristina; Romero … - In: Top : an official journal of the Spanish Society of … 29 (2021) 1, pp. 5-33
Persistent link: https://www.econbiz.de/10012498915
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Variable selection for Naïve Bayes classification
Blanquero, Rafael; Carrizosa, Emilio; Ramírez-Cobo, Pepa; … - In: Computers & operations research : and their … 135 (2021), pp. 1-11
Persistent link: https://www.econbiz.de/10012649735
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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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On clustering and interpreting with rules by means of mathematical optimization
Carrizosa, Emilio; Kurishchenko, Kseniia; Marín, Alfredo; … - In: Computers & operations research : and their … 154 (2023), pp. 1-19
Persistent link: https://www.econbiz.de/10014307360
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Interpreting clusters via prototype optimization
Carrizosa, Emilio; Kurishchenko, Kseniia; Marín, Alfredo; … - In: Omega : the international journal of management science 107 (2022), pp. 1-13
Persistent link: https://www.econbiz.de/10014304678