Ensembles of diverse classifiers using synthetic training data

• Main Authors: Akhand, M.A.H, Shill, P.C., Rahman, M.M. Hafizur, Murase, K.
• Format: Conference or Workshop Item
• Language: English
• Published: 2012
• Subjects: TK7885 Computer engineering
• Online Access: http://irep.iium.edu.my/24981/1/1051C.pdf; http://irep.iium.edu.my/24981/
• Institution: Universiti Islam Antarabangsa Malaysia

The goal of an ensemble construction with several classifiers is to achieve better generalization than that of a single classifier. And proper diversity among classifiers is considered as the condition for an ensemble construction. This paper investigates synthetic pattern for diversity among class...