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: Tags: J Am Med Inform Assoc Source Type: research