MORE-PLR: multi-output regression employed for partial label ranking
This paper proposes using multi-output regression to address the partial label ranking problem, introducing an encoder that, during the learning phase, transforms the (possibly incomplete) rankings with ties of labels to multivariate regression targets, an underexplored perspective in both LR and PLR.
Santo M. A. R. Thies, J. C. Alfaro, Viktor Bengs
· Machine-mediated learning · 2 citations