Minimum-Redundancy Maximum-Relevance Feature Selection for Creating New Hybrid Models for Predicting Maximal Oxygen Uptake Using Support Vector Machines | AVESİS

Çukurova University Research Information System

Minimum-Redundancy Maximum-Relevance Feature Selection for Creating New Hybrid Models for Predicting Maximal Oxygen Uptake Using Support Vector Machines

Copy For Citation

Abut F., AKAY M. F., George J.

Fourth International Symposium on Engineering, Artificial Intelligence and Applications, Girne, Cyprus (Kktc), 2 - 04 November 2016, pp.21-22

Publication Type: Conference Paper / Summary Text
City: Girne
Country: Cyprus (Kktc)
Page Numbers: pp.21-22
Çukurova University Affiliated: Yes