Name
Abstract | ||
|---|---|---|
The classification of patterns into naturally ordered labels is referred to as ordinal regression. This paper proposes an ensemble methodology specifically adapted to this type of problem, which is based on computing different classification tasks through the formulation of different order hypotheses. Every single model is trained in order to distinguish between one given class (k) and all the rem... |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/TCYB.2013.2266336 | IEEE Transactions on Cybernetics |
Keywords | DocType | Volume |
learning (artificial intelligence),pattern classification,regression analysis,support vector machines | Journal | 44 |
Issue | ISSN | Citations |
5 | 2168-2267 | 6 |
PageRank | References | Authors |
0.43 | 9 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| María Pérez-Ortiz | 1 | 61 | 12.51 |
| Pedro Antonio Gutiérrez | 2 | 433 | 47.30 |
| César Hervás-Martínez | 3 | 796 | 78.92 |