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Giada Pierli,Federica Murmura,Laura Braviof the existing framework of computational methods for solvi.This monograph takes the reader through recent advances in data-driven methods and machine learning for problems in science—specifically in continuum physics. It develops the foundations and details a number of scientific machine learningInsatiable 发表于 2025-3-29 15:00:22
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Teresa Nogueiro,Margarida Saraiva,António Ramos Pireslternately exhibit in preceding sequential events, and progress differently in next. Such intensive intent dynamics makes training models hard to capture unobserved intents, and thus leads to sub-optimal generalization performance, especially in the intertwining of numerous potential events. To capt