计算机科学
电池(电)
良性循环与恶性循环
网格
学习周期
脚(韵律)
人工智能
机器学习
心理学
数学教育
物理
哲学
宏观经济学
量子力学
经济
功率(物理)
语言学
数学
几何学
作者
Andrew Wong,Xin Zhou,Yanwei Lum,Zhenpeng Yao,Yang Choo Chua,Yonggang Wen,Zhi Wei Seh
标识
DOI:10.1002/batt.202200309
摘要
New day, new me, new lessons: Machine learning algorithms learn from past data, ensuring that we put our best foot forward with every experiment. By repeatedly channelling the experimental results of the algorithm's predictions back into the algorithm, it results in a virtuous cycle of enhanced algorithm and experimental performances.
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