An empirical overview of nonlinearity and overfitting in machine learning using COVID-19 data
Yaohao Peng, Mateus Nagata
Topics & Concepts
OverfittingMachine learningHyperparameterComputer scienceArtificial intelligenceSample (material)Kernel (algebra)Support vector machineLinear modelCoronavirus disease 2019 (COVID-19)Kernel methodGaussian processEconometricsGaussianMathematicsArtificial neural networkMedicineQuantum mechanicsPhysicsChemistryCombinatoricsInfectious disease (medical specialty)PathologyChromatographyDiseaseCOVID-19 diagnosis using AIAnomaly Detection Techniques and ApplicationsCOVID-19 epidemiological studies