TY  - JOUR 
AU  - Sáez Muñoz, José Antonio
PY  - 2022
UR  - https://hdl.handle.net/10481/78172
AB  - This paper presents the first review of noise models in classification covering both label and
attribute noise. Their study reveals the lack of a unified nomenclature in this field. In order to address
this problem, a tripartite nomenclature based...
LA  - eng
PB  - MDPI
KW  - Noise models
KW  - Nomenclature
KW  - Taxonomy
KW  - Noisy data
KW  - Classification
TI  - Noise Models in Classification: Unified Nomenclature, Extended Taxonomy and Pragmatic Categorization
DO  - 10.3390/math10203736
ER  -