PREDICTION UNCERTAINTY FLATTENING FOR PERFORMANCE IMPROVEMENT OF DEEP LEARNING

Eccomas Proceedia ID: 10336 / Conference Proceeding ID: 19750 / DOI: 10.7712/120223.10336.19750 / Category: U - MS 7 - UNCERTAINTY QUANTIFICATION, DATA ASSIMILATION, MACHINE LEARNING, AND THEIR INTEGRATIONS FOR EFFECTIVE PREDICTIVE MODELS ?

Authors: Chao Liu, Xinlei Zhou, Xizhao Wang

Start Page: 251, End Page: 264, Number of Pages: 14