Articles with "ordinal quantification" as a keyword



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Matching Distributions Algorithms Based on the Earth Mover's Distance for Ordinal Quantification.

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Published in 2022 at "IEEE transactions on neural networks and learning systems"

DOI: 10.1109/tnnls.2022.3179355

Abstract: The goal of quantization learning is to induce models capable of accurately predicting the class distribution for new bags of unseen examples. These models only return the prevalence of each class in the bag because… read more here.

Keywords: quantification; mover distance; earth mover; matching distributions ... See more keywords