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Geometrical Kernel Machine for Prediction and Novelty Detection of Disruptive Events in TOKAMAK Machines.

Barbara CannasRita Sabrina DeloguAlessandra FanniAugusto MontisciPiergiorgio SonatoKatiuscia Zedda
Published in: J. Signal Process. Syst. (2010)
Keyphrases
  • novelty detection
  • kernel machines
  • learning machines
  • anomaly detection
  • prediction accuracy
  • learning algorithm
  • semi supervised
  • concept drift
  • data sets
  • text mining
  • unsupervised learning
  • semi supervised learning