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Learning Kernel Perceptrons on Noisy Data Using Random Projections.

Guillaume StempfelLiva Ralaivola
Published in: ALT (2007)
Keyphrases
  • noisy data
  • random projections
  • noise tolerant
  • learning process
  • learning algorithm
  • motion estimation
  • unsupervised learning
  • neural network
  • upper bound
  • missing data
  • original data
  • learning from noisy data