f-divergence regularization gives comparable or better oxide-weight predictions than L1, L2, and dropout on ChemCam and SuperCam LIBS data, with further gains when combined.
The collinearity problem in linear regression. the partial least squares (pls) approach to generalized inverses,
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Regularization via f-Divergence: An Application to Multi-Oxide Spectroscopic Analysis
f-divergence regularization gives comparable or better oxide-weight predictions than L1, L2, and dropout on ChemCam and SuperCam LIBS data, with further gains when combined.