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We demonstrate that EMPMLDA can significantly outperform other static classifiers such as MLDA and adaptive classifiers (MPMLDA). Furthermore an optimal update coefficient can be achieved using different datasets.<\/jats:p>","DOI":"10.1515\/bams-2019-0020","type":"journal-article","created":{"date-parts":[[2019,7,11]],"date-time":"2019-07-11T09:03:32Z","timestamp":1562835812000},"source":"Crossref","is-referenced-by-count":1,"title":["Adaptive classification to reduce non-stationarity in visual evoked potential brain-computer interfaces"],"prefix":"10.5604","volume":"15","author":[{"given":"Deepak","family":"Kapgate","sequence":"first","affiliation":[{"name":"Department of Information Technology , G. H. Raisoni College of Engineering , Nagpur , India , Phone: +(91)9503703225"}]},{"given":"Dhananjay","family":"Kalbande","sequence":"additional","affiliation":[{"name":"Department of Information Technology , G. H. 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