{"department":[{"_id":"34"},{"_id":"7"},{"_id":"355"}],"author":[{"first_name":"Ammar","full_name":"Shaker, Ammar","last_name":"Shaker"},{"last_name":"Hüllermeier","full_name":"Hüllermeier, Eyke","first_name":"Eyke","id":"48129"}],"year":"2015","user_id":"49109","citation":{"mla":"Shaker, Ammar, and Eyke Hüllermeier. “Recovery Analysis for Adaptive Learning from Non-Stationary Data Streams: Experimental Design and Case Study.” <i>Neurocomputing</i>, vol. 150, 2015, pp. 250–64.","bibtex":"@article{Shaker_Hüllermeier_2015, title={Recovery analysis for adaptive learning from non-stationary data streams: Experimental design and case study}, volume={150}, journal={Neurocomputing}, author={Shaker, Ammar and Hüllermeier, Eyke}, year={2015}, pages={250–264} }","apa":"Shaker, A., &#38; Hüllermeier, E. (2015). Recovery analysis for adaptive learning from non-stationary data streams: Experimental design and case study. <i>Neurocomputing</i>, <i>150</i>, 250–264.","chicago":"Shaker, Ammar, and Eyke Hüllermeier. “Recovery Analysis for Adaptive Learning from Non-Stationary Data Streams: Experimental Design and Case Study.” <i>Neurocomputing</i> 150 (2015): 250–64.","short":"A. Shaker, E. Hüllermeier, Neurocomputing 150 (2015) 250–264.","ieee":"A. Shaker and E. Hüllermeier, “Recovery analysis for adaptive learning from non-stationary data streams: Experimental design and case study,” <i>Neurocomputing</i>, vol. 150, pp. 250–264, 2015.","ama":"Shaker A, Hüllermeier E. Recovery analysis for adaptive learning from non-stationary data streams: Experimental design and case study. <i>Neurocomputing</i>. 2015;150:250-264."},"volume":150,"type":"journal_article","publication":"Neurocomputing","date_updated":"2022-01-06T06:50:36Z","page":"250-264","_id":"10321","language":[{"iso":"eng"}],"title":"Recovery analysis for adaptive learning from non-stationary data streams: Experimental design and case study","intvolume":"       150","status":"public","date_created":"2019-06-26T13:09:44Z"}