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A Review of Supervised Classification based on Contrast Patterns: Applications, Trends, and Challenges

Supervised classification based on Contrast Patterns (CP) is a trending topic in the pattern recognition literature, partly because it contains an important family of both understandable and accurate classifiers. In this paper, we survey 105 articles and provide an in-depth review of CP-based superv...

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Detalles Bibliográficos
Autores principales: Loyola-González, Octavio, Medina-Pérez, Miguel Angel, Choo, Kim-Kwang Raymond
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7532948/
https://www.ncbi.nlm.nih.gov/pubmed/33041735
http://dx.doi.org/10.1007/s10723-020-09526-y