Abstract: The hydrologic pendulum: How information-theory can complement machine learning and physically-based approaches for discharge prediction (AGU Fall Meeting 2018)

The hydrologic pendulum: How information-theory can complement machine learning and physically-based approaches for discharge prediction

Hongxu Ma¹, Dino G. Bellugi², Laurel Larsen³ and Christopher Tennant³, (1)Google, Mountain View, United States, (2)University of California Berkeley, Berkeley, CA, United States, (3)University of California Berkeley, Geography, Berkeley, CA, United States

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