2 papers
cs.LG2026
MORE-PLR: multi-output regression employed for partial label ranking
Santo M. A. R. Thies, Juan C. Alfaro, Viktor Bengs
The partial label ranking problem is a supervised learning scenario that aims to fit a preference model that predicts a bucket order defined over a set of labels for a given input…
cs.LG2025
A comparative analysis of rank aggregation methods for the partial label ranking problem
Jiayi Wang, Juan C. Alfaro, Viktor Bengs
The label ranking problem is a supervised learning scenario in which the learner predicts a total order of the class labels for a given input instance. Recently, research has incre…