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Characterizing Regularization Techniques for Spatial Filter Optimization in Oscillatory EEG Regression Problems - Guidelines Derived from Simulation and Real-World Data.

Andreas MeinelSebastián Castaño-CandamilBenjamin BlankertzFabien LotteMichael Tangermann
Published in: Neuroinformatics (2019)
Keyphrases
  • data sets
  • data analysis
  • regression problems
  • training data
  • input space
  • prior knowledge
  • image data
  • neural network
  • high dimensional
  • data points
  • genetic programming
  • missing data
  • image reconstruction
  • linear regression