Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
402600 | Knowledge-Based Systems | 2015 | 10 Pages |
Abstract
In this paper, a novel approach to classifier ensemble creation is presented. While other ensemble creation techniques are based on careful selection of existing classifiers or preprocessing of the data, the presented approach automatically creates an optimal labelling for a number of classifiers, which are then assigned to the original data instances and fed to classifiers. The approach has been evaluated on high-dimensional biomedical datasets. The results show that the approach outperformed individual approaches in all cases.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Bálint Antal,