| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 10322719 | Expert Systems with Applications | 2011 | 9 Pages |
Abstract
⺠Uncertainty in labels of learning data is considered. ⺠Different types of features provide complementary information from data. ⺠The uncertainties in the initial labels of the learning data in each feature space are detected using local information of the data. ⺠Dempster-Shafer theory is used in a neural network ensemble structure to reduce the accepted uncertainty.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Mahdi Tabassian, Reza Ghaderi, Reza Ebrahimpour,