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A machine learning approach to predict episodic memory form..:
, In:
2016 Annual Conference on Information Science and Systems (CISS)
,
Hanlin Tang
;
Romaine, Melissa
;
Boulin, Adriana
... - p. 539-544 , 2016
Link:
https://doi.org/10.1109/CISS.2016.7460560
RT T1 <cTitle>2016 Annual Conference on Information Science and Systems (CISS)</cTitle>: T1 <Title>A machine learning approach to predict episodic memory formation</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-7460560&Exemplar=1&LAN=DE A1 Hanlin Tang A1 Romaine, Melissa A1 Boulin, Adriana A1 Frias, Rosa A1 Carroll, James A1 Dowcett, Sarah A1 Singer, Jedediah A1 Ison, Matias A1 Pivazyan, Gnel A1 Romaine, Melissa A1 Meller, Elizabeth A1 Perron, Victoria A1 Arlellano, Marlise A1 Kreiman, Gabriel YR 2016 K1 Motion pictures K1 Predictive models K1 Prediction algorithms K1 Computational modeling K1 Classification algorithms K1 Support vector machines K1 Training K1 episodic memory K1 computational neuroscience K1 machine-learning K1 behavioral prediction SP 539 OP 544 LK http://dx.doi.org/https://doi.org/10.1109/CISS.2016.7460560 DO https://doi.org/10.1109/CISS.2016.7460560 SF ELIB - SuUB Bremen
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