{"status":"public","department":[{"_id":"34"},{"_id":"7"},{"_id":"355"}],"date_updated":"2022-01-06T06:50:36Z","language":[{"iso":"eng"}],"_id":"10321","intvolume":"       150","page":"250-264","date_created":"2019-06-26T13:09:44Z","title":"Recovery analysis for adaptive learning from non-stationary data streams: Experimental design and case study","author":[{"full_name":"Shaker, Ammar","last_name":"Shaker","first_name":"Ammar"},{"full_name":"Hüllermeier, Eyke","last_name":"Hüllermeier","id":"48129","first_name":"Eyke"}],"user_id":"49109","publication":"Neurocomputing","year":"2015","volume":150,"type":"journal_article","citation":{"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.","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.","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.","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."}}