| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 393990 | Information Sciences | 2010 | 9 Pages |
Abstract
Software for solving the supervised ranking problem is presented. Four variants of the Ordinal Stochastic Dominance Learner (OSDL) are given, together with the space and time complexity of their implementations. It is shown that the described software, which includes two further algorithms for supervised ranking, fits seamlessly into the weka environment.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Stijn Lievens, Bernard De Baets,