Revisiting the Dissimilarity Representation in the Context of Regression

In machine learning, a natural way to represent an instance is by using a feature vector. However, several studies have shown that this representation may not accurately characterize an object. For classification problems, the dissimilarity paradigm has been proposed as an alternative to the standar...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Vicente Garcia, J. Salvador Sanchez, Rafael Martinez-Pelaez, Luis C. Mendez-Gonzalez
Formato: article
Lenguaje:EN
Publicado: IEEE 2021
Materias:
Acceso en línea:https://doaj.org/article/bcf6a3c7b90c46798ec66106b046576c
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!