A Survey on Cost Types, Interaction Schemes, and Annotator Performance Models in Selection Algorithms for Active Learning in Classification

2022-05-032022-05-032021-12-14http://hdl.handle.net/123456789/13801engNamensnennung 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/Active learningclassificationerror-prone annotatorshuman-in-the-loop learninginter- active learningmachine learning004300370A Survey on Cost Types, Interaction Schemes, and Annotator Performance Models in Selection Algorithms for Active Learning in ClassificationAufsatzAktives maschinelles LernenHuman-in-the-loopKostenKlassifikation