A proximal classifier with positive and negative local regions
- Author
- SHAO, Yuan-Hai1 ; CHEN, Wei-Jie1 ; ZHEN WANG2 ; ZHANG, Hai-Bin3 ; DENG, Nai-Yang4
[1] Zhijiang College, Zhejiang University of Technology, Hangzhou 310024, China
[2] School of Mathematical Sciences, Inner Mongolia University, Hohehot 010021, China
[3] College of Applied Sciences, Beijing University of Technology, Beijing 100124, China
[4] College of Science China Agricultural University, Beijing 100083, China - Source
Neurocomputing (Amsterdam). 2014, Vol 145, pp 131-139, 9 p ; ref : 42 ref
- ISSN
- 0925-2312
- Scientific domain
- Cognition; Computer science
- Publisher
- Elsevier, Amsterdam
- Publication country
- Netherlands
- Document type
- Article
- Language
- English
- Author keyword
- Global regularization Local learning Pattern recognition Positive and negative local regions Proximal classifier
- Keyword (fr)
- Ajustement modèle Classification Recherche locale Reconnaissance forme Résultat expérimental Théorie locale
- Keyword (en)
- Model matching Classification Local search Pattern recognition Experimental result Local theory
- Keyword (es)
- Ajustamiento modelo Clasificación Busca local Reconocimiento patrón Resultado experimental Teoría local
- 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
- 28785698
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.neucom.2014.05.050 
https://dx.doi.org/10.1016/j.neucom.2014.05.050
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