Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6866941 | Neurocomputing | 2012 | 7 Pages |
Abstract
Experimental results on the synthetic Ripley's dataset show that such a filtering strategy is able to reject “noisy” examples, and yields a classification error close to the optimal Bayes error. Experiments on standard UCI datasets show significant improvements over the current state of the art.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Paolo Piro, Richard Nock, Frank Nielsen, Michel Barlaud,