Massively-parallel best subset selection for ordinary least-squares regression.
Fabian GiesekeKai Lars PolstererAshish MahabalChristian IgelTom HeskesPublished in: SSCI (2017)
Keyphrases
- massively parallel
- ordinary least squares
- subset selection
- ridge regression
- feature selection
- fine grained
- total least squares
- least squares
- parallel computing
- hill climbing
- regression methods
- parallel machines
- neural network
- regression method
- sparse representation
- support vector machine
- evolutionary algorithm
- genetic algorithm