| 11.00 |
Opening and General Introduction |
Rob Potharst and Ad Feelders |
11.20
|
Invited Talk: Monotone but not boring: how to deal with
reversed preference in
monotone classification |
Bernard De Baets
|
| 12.15 |
On Testing Monotonicity Of Datasets |
Marina Velikova and Hennie Daniels |
| 12.45 |
Lunch |
|
14.00
|
Generalized PAV Algorithm with block refinement for
partially ordered monotonic regression |
Oleg Burdakov, Anders Grimvall and Oleg Sysoev
|
| 14.30 |
Discovering Monotone Relations with Padé |
Jure Zabkar, Martin Mozina, Ivan Bratko and Janez Demsar |
| 15.00 |
Coffee Break |
|
| 15.20 |
Nonparametric Ordinal Classification with Monotonicity Constraints |
Nicola Barile and Ad Feelders |
| 15.50 |
Invited Talk: Monotone Ordinal Concept Learning: Past, Present and Future |
Arie Ben-David |
| 16.45 |
Closing |
Rob Potharst and Ad Feelders |
