Learning classification models with soft-label information.
CONCLUSIONS: A new classification learning framework that lets us learn from auxiliary soft-label information provided by a human expert is a promising new direction for learning classification models from expert labels, reducing the time and cost needed to label data.
PMID: 24259520 [PubMed - as supplied by publisher]
Source: Journal of the American Medical Informatics Association - Category: Information Technology Authors: Nguyen Q, Valizadegan H, Hauskrecht M Tags: J Am Med Inform Assoc Source Type: research
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