Adapting Machine Learning to Non-stationary Environments

Adapting Machine Learning to Non-stationary Environments
Author :
Publisher :
Total Pages : 0
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ISBN-10 : 433444895X
ISBN-13 : 9784334448950
Rating : 4/5 (950 Downloads)

Book Synopsis Adapting Machine Learning to Non-stationary Environments by : Wintheiser Donnie

Download or read book Adapting Machine Learning to Non-stationary Environments written by Wintheiser Donnie and published by . This book was released on 2023-04-04 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine learning stimulates a broad range of computational methods that exploit experience, which typically takes the form of electronic data, to make profitable decisions or accurate predictions. To date, the machine learning models have been applied to extensive application domains across diverse fields, including but not limited to computer vision [1, 2, 3], natural language processing [4, 5, 6], robotic control [7, 8], and cyber security [9, 10, 11].


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