An effective Weighted Multi-class Least Squares Twin Support Vector Machine for Imbalanced data classification

The performance of machine learning algorithms is affected by the imbalanced distribution of data among classes. This issue is crucial in various practical problem domains, for example, in medical diagnosis, network intrusion, fraud detection etc. Most efforts so far are mainly focused upon binary c...

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Detalhes bibliográficos

Principais autores:	Divya Tomar, Sonali Agarwal
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Springer 2015-08-01
coleção:	International Journal of Computational Intelligence Systems
Assuntos:	Least Squares Twin Support Vector Machine Multi Least Squares Twin Support Vector Machine Weighted Multi Least Squares Twin Support Vector Machine Imbalanced data classification
Acesso em linha:	https://www.atlantis-press.com/article/25868627.pdf
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