Integrating machine learning and multiscale modeling-perspectives, challenges, and opportunities in the biological, biomedical, and behavioral sciences.
作者： Mark Alber , Adrian Buganza Tepole , William R. Cannon , Suvranu De , Salvador Dura-Bernal
DOI: 10.1038/S41746-019-0193-Y
关键词: Multiscale modeling 、 Leverage (statistics) 、 Physical law 、 Function (engineering) 、 Machine learning 、 Multidisciplinary approach 、 Artificial intelligence 、 Complement (complexity) 、 Multimodality 、 Behavioural sciences
摘要: … thoroughly test the predictive power of models built with machine learning algorithms? The … , they are at a high risk of overfitting and generating non-physical predictions. Ultimately, our …
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