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Published in 2020 at "Neural Computation"
DOI: 10.1162/neco_a_01262
Abstract: Learning from triplet comparison data has been extensively studied in the context of metric learning, where we want to learn a distance metric between two instances, and ordinal embedding, where we want to learn an…
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Keywords:
risk;
classification;
triplet comparison;
comparison data ... See more keywords