Name
Abstract | ||
|---|---|---|
Ordinal regression is aimed at predicting an ordinal class label. In this letter, we consider its semisupervised formulation, in which we have unlabeled data along with ordinal-labeled data to train an ordinal regressor. There are several metrics to evaluate the performance of ordinal regression, such as the mean absolute error, mean zero-one error, and mean squared error. However, the existing st... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1162/neco_a_01445 | Neural Computation |
DocType | Volume | Issue |
Journal | 33 | 12 |
ISSN | Citations | PageRank |
0899-7667 | 0 | 0.34 |
References | Authors | |
14 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Taira Tsuchiya | 1 | 0 | 0.68 |
| Nontawat Charoenphakdee | 2 | 2 | 4.41 |
| Issei Sato | 3 | 331 | 41.59 |
| Masashi Sugiyama | 4 | 3353 | 264.24 |