{"type":"journal_article","volume":10,"date_updated":"2022-01-06T06:52:44Z","date_created":"2020-02-28T15:37:03Z","intvolume":" 10","language":[{"iso":"eng"}],"status":"public","author":[{"last_name":"Hüllermeier","full_name":"Hüllermeier, Eyke","id":"48129","first_name":"Eyke"},{"last_name":"Beringer","full_name":"Beringer, J.","first_name":"J."}],"department":[{"_id":"34"},{"_id":"7"},{"_id":"355"}],"publication":"Intelligent Data Analysis","user_id":"49109","issue":"5","year":"2006","page":"419-440","_id":"16177","title":"Learning from ambiguously labeled examples","citation":{"ieee":"E. Hüllermeier and J. Beringer, “Learning from ambiguously labeled examples,” Intelligent Data Analysis, vol. 10, no. 5, pp. 419–440, 2006.","mla":"Hüllermeier, Eyke, and J. Beringer. “Learning from Ambiguously Labeled Examples.” Intelligent Data Analysis, vol. 10, no. 5, 2006, pp. 419–40.","bibtex":"@article{Hüllermeier_Beringer_2006, title={Learning from ambiguously labeled examples}, volume={10}, number={5}, journal={Intelligent Data Analysis}, author={Hüllermeier, Eyke and Beringer, J.}, year={2006}, pages={419–440} }","short":"E. Hüllermeier, J. Beringer, Intelligent Data Analysis 10 (2006) 419–440.","chicago":"Hüllermeier, Eyke, and J. Beringer. “Learning from Ambiguously Labeled Examples.” Intelligent Data Analysis 10, no. 5 (2006): 419–40.","apa":"Hüllermeier, E., & Beringer, J. (2006). Learning from ambiguously labeled examples. Intelligent Data Analysis, 10(5), 419–440.","ama":"Hüllermeier E, Beringer J. Learning from ambiguously labeled examples. Intelligent Data Analysis. 2006;10(5):419-440."}}