A New Objective Function for Ensemble Selection in Random Subspaces

Most works based on diversity suggest that there exists only weak correlation between diversity and ensemble accuracy. We show that by combining the diversities with the classification accuracy of each individual classifier, we can achieve a strong correlation between the combined diversities and the ensemble accuracy in Random Subspaces.

• Type: Conference
• Year: 2006
• Where: ICPR
• Authors: Albert Hung-Ren Ko, Robert Sabourin, Alceu de Souza Britto Jr.
• Keywords: Classification Accuracy, Computer Vision, Ensemble Accuracy, ICPR 2006, Weak Correlation