Learning from Weak TeachersDownload PDFOpen Website

2012 (modified: 08 Nov 2022)AISTATS 2012Readers: Everyone
Abstract: This paper addresses the problem of learning when high-quality labeled examples are an expensive resource, while samples with error-prone labeling (for example generated by crowdsourcing) are readi...
0 Replies

Loading