| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 397324 | International Journal of Approximate Reasoning | 2014 | 5 Pages |
Abstract
This short paper discusses the contributions made to the featured section on Low Quality Data. We further refine the distinction between the ontic and epistemic views of imprecise data in statistics. We also question the extent to which likelihood functions can be viewed as belief functions. Finally we comment on the data disambiguation effect of learning methods, relating it to data reconciliation problems.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Didier Dubois,