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pro vyhledávání: '"Vlachos, Anastasios"'
In this paper, we consider the problem of predicting unknown targets from data. We propose Online Residual Learning (ORL), a method that combines online adaptation with offline-trained predictions. At a lower level, we employ multiple offline predict
Externí odkaz:
http://arxiv.org/abs/2409.04069
Autor:
Asvestas D; Dimitrios Asvestas, Konstantinos Vlachos, Anastasios Salachas, Konstantinos P Letsas, Antonios Sideris, Second Department of Cardiology, Evangelismos General Hospital, 10676 Athens, Greece., Vlachos K; Dimitrios Asvestas, Konstantinos Vlachos, Anastasios Salachas, Konstantinos P Letsas, Antonios Sideris, Second Department of Cardiology, Evangelismos General Hospital, 10676 Athens, Greece., Salachas A; Dimitrios Asvestas, Konstantinos Vlachos, Anastasios Salachas, Konstantinos P Letsas, Antonios Sideris, Second Department of Cardiology, Evangelismos General Hospital, 10676 Athens, Greece., Letsas KP; Dimitrios Asvestas, Konstantinos Vlachos, Anastasios Salachas, Konstantinos P Letsas, Antonios Sideris, Second Department of Cardiology, Evangelismos General Hospital, 10676 Athens, Greece., Sideris A; Dimitrios Asvestas, Konstantinos Vlachos, Anastasios Salachas, Konstantinos P Letsas, Antonios Sideris, Second Department of Cardiology, Evangelismos General Hospital, 10676 Athens, Greece.
Publikováno v:
World journal of cardiology [World J Cardiol] 2014 Jun 26; Vol. 6 (6), pp. 514-6.
