ML-KNN : A lazy learning approach to multi-label learning
- Author
- ZHANG, Min-Ling1 ; ZHOU, Zhi-Hua1
[1] National Laboratory for Novel Software Technology, Nanjing University, Nanjing 210093, China - Source
Pattern recognition. 2007, Vol 40, Num 7, pp 2038-2048, 11 p ; ref : 23 ref
- CODEN
- PTNRA8
- ISSN
- 0031-3203
- Scientific domain
- Computer science; Telecommunications
- Publisher
- Elsevier Science, Oxford
- Publication country
- United Kingdom
- Document type
- Article
- Language
- English
- Author keyword
- Functional genomics K-nearest neighbor Lazy learning Machine learning Multi-label learning Natural scene classification Text categorization
- Keyword (fr)
- Algorithme apprentissage Analyse fonctionnelle Analyse image Analyse scène Apprentissage Approximation plus proche voisin Classification automatique Classification signal Estimation a posteriori Evaluation performance Plus proche voisin Scène naturelle
- Keyword (en)
- Learning algorithm Functional analysis Image analysis Scene analysis Learning Nearest neighbor approximation Automatic classification Signal classification A posteriori estimation Performance evaluation Nearest neighbour Natural scenes
- Keyword (es)
- Algoritmo aprendizaje Análisis funcional Análisis imagen Análisis escena Aprendizaje Clasificación automática Estimación a posteriori Evaluación prestación Vecino más cercano
- Classification
- 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
- Discipline
- Telecommunications and information theory
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 18683816
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.2006.12.019 
https://dx.doi.org/10.1016/j.patcog.2006.12.019
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