- idUS
- Investigación
- Ciencias
- Estadística e Investigación Operativa
- Listar Estadística e Investigación Operativa por autor
Listar Estadística e Investigación Operativa por autor "Japón Sáez, Alberto"
Mostrando ítems 1-4 de 4
-
Artículo
A mathematical programming approach to SVM-based classification with label noise
Blanco, Víctor; Japón Sáez, Alberto; Puerto Albandoz, Justo (ScienceDirect, 2022-08-30)In this paper we propose novel methodologies to optimally construct Support Vector Machine-based classifiers that take ...
-
Tesis Doctoral
New Advances In Data Science Problems Through Hyperplanes Location
Japón Sáez, Alberto (2022-06-02)This thesis dissertation focus on developing new approaches for different Data Science problems from a Location Theory ...
-
Artículo
Optimal arrangements of hyperplanes for SVM-based multiclass classification
Blanco Izquierdo, Víctor; Japón Sáez, Alberto; Puerto Albandoz, Justo (Springer, 2019-07)In this paper, we present a novel approach to construct multiclass classifiers by means of arrangements of hyperplanes. ...
-
Artículo
Robust optimal classification trees under noisy labels
Blanco Izquierdo, Víctor; Japón Sáez, Alberto; Puerto Albandoz, Justo (Springer, 2021-10-05)In this paper we propose a novel methodology to construct Optimal Classification Trees that takes into account that noisy ...