Imprecise Deep Forest for Partial Label Learning
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DOI: 10.1109/access.2020.3042838
Abstract: In partial label (PL) learning, each instance corresponds to a set of candidate labels, among which only one is valid. The objective of PL learning is to obtain a multi-class classifier from the training instances.… read more here.
Keywords: label; training; deep forest; ecoc algorithm ... See more keywords