A multiple criteria active learning method for support vector regression
- Autor
- DEMIR, Begüm1 ; BRUZZONE, Lorenzo1
[1] Department of Information Engineering and Computer Science, University of Trento, Via Sommarive, 14, 38123 Trento, Italy - Fuente
Pattern recognition. 2014, Vol 47, Num 7, pp 2558-2567, 10 p ; ref : 29 ref
- CODEN
- PTNRA8
- ISSN
- 0031-3203
- Campo Científico
- Computer science; Telecommunications
- Editor
- Elsevier, Kidlington
- País de la publicación
- United Kingdom
- Tipo de documento
- Article
- Idioma
- English
- Palabra clave de autor
- Active learning Parameters estimation Regression Support vector regression
- Palabra clave (fr)
- Analyse multicritère Analyse régression Apprentissage Classification automatique Classification signal Densité élevée Estimation paramètre Implémentation Machine vecteur support Méthode itérative Robustesse
- Palabra clave (in)
- Multicriteria analysis Regression analysis Learning Automatic classification Signal classification High density Parameter estimation Implementation Support vector machine Iterative method Robustness
- Palabra clave (es)
- Análisis multicriterio Análisis regresión Aprendizaje Clasificación automática Densidad elevada Estimación parámetro Implementación Máquina vector soporte Método iterativo Robustez
- Clasificación
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D04 Telecommunications and information theory / 001D04A Information, signal and communications theory / 001D04A04 Signal and communications theory / 001D04A04A Signal, noise / 001D04A04A1 Signal representation. Spectral analysis
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D04 Telecommunications and information theory / 001D04A Information, signal and communications theory / 001D04A04 Signal and communications theory / 001D04A04A Signal, noise / 001D04A04A2 Detection, estimation, filtering, equalization, prediction
- Disciplina
- Telecommunications and information theory
- Procedencia
- Inist-CNRS
- Base de datos
- PASCAL
- Identificador INIST
- 28417335
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
10.1016/j.patcog.2014.02.001 
https://dx.doi.org/10.1016/j.patcog.2014.02.001
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