Optimising ensemble combination based on maximisation of diversity

• Main Authors: Mao, Shasha, Lin, Weisi, Chen, Jiawei, Xiong, Lin
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2018
• Subjects: Optimal Combination; Ensemble Learning
• Online Access: https://hdl.handle.net/10356/88377; http://hdl.handle.net/10220/45740
• Institution: Nanyang Technological University

Balancing diversity and accuracy of individuals is crucial for improving the performance of an ensemble system, since they are two important but incompatible factors for ensemble learning. When multiple individuals are combined with the corresponding weights, the diversity should be dominated by ind...