Abstract: Looking Beyond Data: Information-theory based criteria to evaluate different machine-learning approaches for hydrological problems (AGU Fall Meeting 2018)

Looking Beyond Data: Information-theory based criteria to evaluate different machine-learning approaches for hydrological problems

Benjamin Mewes¹, Henning Oppel¹, Andreas J Hartmann² and Andreas H Schumann³, (1)Ruhr University Bochum, Chair of Hydrology, Water Resource Management & Environmental Engineering, Bochum, Germany, (2)University of Bristol, Bristol, United Kingdom, (3)Ruhr University Bochum, Bochum, Germany

Back to: Big Data and Machine Learning in Hydrology and Subsurface Flow and Transport II