Learning decision trees for the partial label ranking problem
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DOI: 10.1002/int.22325
Abstract: The Label Ranking (LR) problem is a well‐known nonstandard supervised classification problem, the goal of which is to learn preference classifiers from data, mapping instances to rankings of the labels of the class variable. In… read more here.
Keywords: decision; partial label; label ranking; ranking problem ... See more keywords