An empirical overview of nonlinearity and overfitting in machine learning using COVID-19 data

标题
An empirical overview of nonlinearity and overfitting in machine learning using COVID-19 data
作者
关键词
Bias-variance dilemma, Time series prediction, Support vector machine, Statistical learning, Hyperparameters and chaos, Epidemic spreading
出版物
CHAOS SOLITONS & FRACTALS
Volume 139, Issue -, Pages 110055
出版商
Elsevier BV
发表日期
2020-06-30
DOI
10.1016/j.chaos.2020.110055

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