[{"user_id":"49109","intvolume":"       150","_id":"16067","year":"2015","date_updated":"2020-02-25T11:01:18Z","language":[{"iso":"eng"}],"title":"Recovery analysis for adaptive learning from non-stationary data streams: Experimental design and case study","department":[{"_id":"34"},{"_id":"7"},{"_id":"355"}],"status":"public","type":"journal_article","date_created":"2020-02-24T16:42:19Z","author":[{"full_name":"Shaker, A.","last_name":"Shaker","first_name":"A."},{"full_name":"Hüllermeier, Eyke","last_name":"Hüllermeier","first_name":"Eyke","id":"48129"}],"publication":"Neurocomputing","citation":{"mla":"Shaker, A., 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.","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.","chicago":"Shaker, A., 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.","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.","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.","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, A. and Hüllermeier, Eyke}, year={2015}, pages={250–264} }","short":"A. Shaker, E. Hüllermeier, Neurocomputing 150 (2015) 250–264."},"page":"250-264","volume":150}]