Discovering the Arrow of Time in Machine Learning

Machine learning (ML) is increasingly useful as data grow in volume and accessibility. ML can perform tasks (e.g., categorisation, decision making, anomaly detection, etc.) through experience and without explicit instruction, even when the data are too vast, complex, highly variable, full of errors...

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發表在:	Information
Main Authors:	J. Kasmire, Anran Zhao
格式:	Article
語言:	英语
出版:	MDPI AG 2021-10-01
主題:	machine learning time naive Bayes classification recurrent neural networks Twitter social media data
在線閱讀:	https://www.mdpi.com/2078-2489/12/11/439