Examples

Jupyter Notebooks

• A quick tour through UBayFS
  • Introduction
  • Requirements and dependencies
  • Background
    • Ensemble feature selection as likelihood
    • Expert knowledge as prior
      • Prior feature weights
      • Feature set constraints
  • Application of UBayFS
    • Ensemble Training
    • User knowledge
    • Optimization and evaluation
• Block feature selection with UBayFS
  • Introduction
  • UBayFS example
    • Version (a): block list
    • Version (b): block matrix
    • Block-wise prior weights
    • Evaluation of block feature selection results
  • Conclusion
• Validation on a simulated dataset