Classification in the Presence of Label Noise: a Survey
- Author
- FRENAY, Benoît1 ; VERLEYSEN, Michel1
[1] Institute of Information and Communication Technologies, Electronics and Applied Mathematics, Université catholique de Louvain, Louvain-la-Neuve 1348, Belgium - Source
IEEE transactions on neural networks and learning systems (Print). 2014, Vol 25, Num 5, pp 845-869, 25 p ; ref : 318 ref
- ISSN
- 2162-237X
- Scientific domain
- Cognition; Electronics; Computer science; Psychology, psychopathology, psychiatry
- Publisher
- Institute of Electrical and Electronics Engineers, New York, NY
- Publication country
- United States
- Document type
- Article
- Language
- English
- Author keyword
- Class noise classification label noise mislabeling robust methods survey
- Keyword (fr)
- Article synthèse Complexité calcul Confiance Enquête sur terrain Plan expérience Rapport signal bruit Source bruit Systématique Classification multiple
- Keyword (en)
- Review Computational complexity Confidence Field inquiry Experimental design Signal to noise ratio Noise source Taxonomy Multiple classification
- Keyword (es)
- Artículo síntesis Complejidad computación Confianza Encuesta sobre terreno Plan experiencia Relación señal ruido Fuente ruido Sistemática clasificación múltiple
- Classification
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02B Software / 001D02B07 Memory organisation. Data processing / 001D02B07B Data processing. List processing. Character string processing
- Discipline
- Computer science : theoretical automation and systems
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 28604010
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1109/TNNLS.2013.2292894 
https://dx.doi.org/10.1109/TNNLS.2013.2292894
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