Login / Signup

The Effects of Individual Differences, Non-Stationarity, and the Importance of Data Partitioning Decisions for Training and Testing of EEG Cross-Participant Models.

Alexander KamrudBrett J. BorghettiChristine M. Schubert-Kabban
Published in: Sensors (2021)
Keyphrases
  • individual differences
  • data partitioning
  • working memory
  • skill acquisition
  • parallel query processing
  • machine learning
  • query processing
  • multi dimensional
  • learning outcomes
  • highly scalable