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