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...

Descrizione completa

Dettagli Bibliografici

Autori principali:	Divya Tomar, Sonali Agarwal
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Springer 2015-08-01
Serie:	International Journal of Computational Intelligence Systems
Soggetti:	Least Squares Twin Support Vector Machine Multi Least Squares Twin Support Vector Machine Weighted Multi Least Squares Twin Support Vector Machine Imbalanced data classification
Accesso online:	https://www.atlantis-press.com/article/25868627.pdf
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!