{"intvolume":" 150","date_created":"2020-02-24T16:42:19Z","status":"public","year":"2015","user_id":"49109","department":[{"_id":"34"},{"_id":"7"},{"_id":"355"}],"author":[{"first_name":"A.","last_name":"Shaker","full_name":"Shaker, A."},{"id":"48129","first_name":"Eyke","full_name":"Hüllermeier, Eyke","last_name":"Hüllermeier"}],"_id":"16067","title":"Recovery analysis for adaptive learning from non-stationary data streams: Experimental design and case study","language":[{"iso":"eng"}],"publication":"Neurocomputing","page":"250-264","date_updated":"2022-01-06T06:52:42Z","citation":{"chicago":"Shaker, A., and Eyke Hüllermeier. “Recovery Analysis for Adaptive Learning from Non-Stationary Data Streams: Experimental Design and Case Study.” Neurocomputing 150 (2015): 250–64.","apa":"Shaker, A., & Hüllermeier, E. (2015). Recovery analysis for adaptive learning from non-stationary data streams: Experimental design and case study. Neurocomputing, 150, 250–264.","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,” Neurocomputing, vol. 150, pp. 250–264, 2015.","mla":"Shaker, A., and Eyke Hüllermeier. “Recovery Analysis for Adaptive Learning from Non-Stationary Data Streams: Experimental Design and Case Study.” Neurocomputing, 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} }","ama":"Shaker A, Hüllermeier E. Recovery analysis for adaptive learning from non-stationary data streams: Experimental design and case study. Neurocomputing. 2015;150:250-264."},"volume":150,"type":"journal_article"}