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 | Shiny dashboard | Conclusion | References

Introduction | UBayFS example | Version (a): block list | Version (b): block matrix | Block-wise prior weights | Evaluation of block feature selection results | Conclusion