{"intvolume":"       150","date_created":"2020-02-24T16:42:19Z","date_updated":"2022-01-06T06:52:42Z","author":[{"first_name":"A.","last_name":"Shaker","full_name":"Shaker, A."},{"first_name":"Eyke","id":"48129","last_name":"Hüllermeier","full_name":"Hüllermeier, Eyke"}],"page":"250-264","user_id":"49109","_id":"16067","department":[{"_id":"34"},{"_id":"7"},{"_id":"355"}],"language":[{"iso":"eng"}],"title":"Recovery analysis for adaptive learning from non-stationary data streams: Experimental design and case study","year":"2015","status":"public","volume":150,"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.","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} }","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.","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.","short":"A. Shaker, E. Hüllermeier, Neurocomputing 150 (2015) 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.","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."},"publication":"Neurocomputing","type":"journal_article"}