{"title":"Learning from ambiguously labeled examples","year":"2006","volume":10,"author":[{"last_name":"Hüllermeier","full_name":"Hüllermeier, Eyke","first_name":"Eyke","id":"48129"},{"first_name":"J.","full_name":"Beringer, J.","last_name":"Beringer"}],"_id":"16177","publication":"Intelligent Data Analysis","language":[{"iso":"eng"}],"user_id":"49109","intvolume":"        10","department":[{"_id":"34"},{"_id":"7"},{"_id":"355"}],"date_created":"2020-02-28T15:37:03Z","type":"journal_article","status":"public","page":"419-440","citation":{"apa":"Hüllermeier, E., &#38; Beringer, J. (2006). Learning from ambiguously labeled examples. <i>Intelligent Data Analysis</i>, <i>10</i>(5), 419–440.","mla":"Hüllermeier, Eyke, and J. Beringer. “Learning from Ambiguously Labeled Examples.” <i>Intelligent Data Analysis</i>, vol. 10, no. 5, 2006, pp. 419–40.","short":"E. Hüllermeier, J. Beringer, Intelligent Data Analysis 10 (2006) 419–440.","ieee":"E. Hüllermeier and J. Beringer, “Learning from ambiguously labeled examples,” <i>Intelligent Data Analysis</i>, vol. 10, no. 5, pp. 419–440, 2006.","ama":"Hüllermeier E, Beringer J. Learning from ambiguously labeled examples. <i>Intelligent Data Analysis</i>. 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} }","chicago":"Hüllermeier, Eyke, and J. Beringer. “Learning from Ambiguously Labeled Examples.” <i>Intelligent Data Analysis</i> 10, no. 5 (2006): 419–40."},"date_updated":"2022-01-06T06:52:44Z","issue":"5"}