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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Ngā kaituhi matua:	Divya Tomar, Sonali Agarwal
Hōputu:	Artigo
Reo:	Inglês
I whakaputaina:	Springer 2015-08-01
Rangatū:	International Journal of Computational Intelligence Systems
Ngā marau:	Least Squares Twin Support Vector Machine Multi Least Squares Twin Support Vector Machine Weighted Multi Least Squares Twin Support Vector Machine Imbalanced data classification
Urunga tuihono:	https://www.atlantis-press.com/article/25868627.pdf
Ngā Tūtohu:	Tāpirihia he Tūtohu Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!