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pro vyhledávání: '"Leznik, Mark"'
Autor:
Bauer, André, Trapp, Simon, Stenger, Michael, Leppich, Robert, Kounev, Samuel, Leznik, Mark, Chard, Kyle, Foster, Ian
Recent years have witnessed a surge in the popularity of Machine Learning (ML), applied across diverse domains. However, progress is impeded by the scarcity of training data due to expensive acquisition and privacy legislation. Synthetic data emerges
Externí odkaz:
http://arxiv.org/abs/2401.02524
Autor:
Bauer, André, Leznik, Mark, Stenger, Michael, Leppich, Robert, Herbst, Nikolas, Kounev, Samuel, Foster, Ian
In many areas of decision-making, forecasting is an essential pillar. Consequently, many different forecasting methods have been proposed. From our experience, recently presented forecasting methods are computationally intensive, poorly automated, ta
Externí odkaz:
http://arxiv.org/abs/2309.15871
Autor:
Leznik, Mark, Terzis, Anestis
Publikováno v:
Handbook of Camera Monitor Systems; 2016, p453-484, 32p
