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Feature subset selection for learning huge configuration spaces: the case of linux kernel size.

Mathieu AcherHugo MartinLuc LesoilArnaud BlouinJean-Marc JézéquelDjamel Eddine KhelladiOlivier BaraisJuliana Alves Pereira
Published in: SPLC (A) (2022)
Keyphrases
  • feature subset selection
  • linux kernel
  • learning algorithm
  • active learning
  • high level
  • reinforcement learning
  • semi supervised
  • operating system
  • pattern classification