Variable selection and the interpretation of principal subspaces

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Evaluation of most similar neighbour and random forest methods for imputing forest inventory variables using data from target and auxiliary stands (2012, methodology): “Whereas the performance of stepwise selection procedures has often been criticized compared to local search heuristics (Barros and Rutledge 1998, Cadima and Joliffe 2001), the latter methods such as GA have been successfully applied in selecting approximately uncorrelated predictors and…”
A Modified Principal Component Technique Based on the LASSO (2003, methodology): “A number of algorithms have been tried to implement the technique including simulated annealing (Goffe, Ferrier, and Rogers 1994), but the results reported in the following example were derived using the projected gradient approach (Chu and Trenda lov 2001; Helmke and Moore 1994).”