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Cost-sensitive Feature Selection for Support Vector Machines
Benítez-Peña, S.; Blanquero, R.; Carrizosa, Emilio; … - In: Computers & operations research : and their … 106 (2019), pp. 169-178
Persistent link: https://www.econbiz.de/10012014403
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Multi-instance classification through spherical separation and VNS
Plastria, Frank; Carrizosa, Emilio; Gordillo, José - In: Computers & operations research : and their … 52 (2014), pp. 326-333
Persistent link: https://www.econbiz.de/10011281716
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Sparsity in optimal randomized classification trees
Blanquero, Rafael; Carrizosa, Emilio; Molero-Río, Cristina - In: European journal of operational research : EJOR 284 (2020) 1, pp. 255-272
Persistent link: https://www.econbiz.de/10012238665
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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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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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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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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