An ensemble of decision trees with random vector functional link networks for multi-class classification

• Main Authors: Katuwal, Rakesh, Suganthan, Ponnuthurai Nagaratnam, Zhang, Le
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2020
• Subjects: Engineering::Electrical and electronic engineering; Random Forest; Oblique Random Forest
• Online Access: https://hdl.handle.net/10356/143804
• Institution: Nanyang Technological University

Ensembles of decision trees and neural networks are popular choices for solving classification and regression problems. In this paper, a new ensemble of classifiers that consists of decision trees and random vector functional link network is proposed for multi-class classification. The random vector...