A user-guided Bayesian framework for ensemble feature selection in life science applications (UBayFS).
Anna JenulStefan SchrunnerJürgen PilzOliver TomicPublished in: Mach. Learn. (2022)
Keyphrases
- bayesian framework
- life sciences
- ensemble feature selection
- ensemble learning
- ensemble methods
- genetic search
- gene selection
- prior knowledge
- generative model
- biological data
- data integration
- feature subset
- maximum a posteriori
- scientific data
- expectation maximization
- data analysis
- base classifiers
- benchmark datasets
- machine learning methods
- genetic algorithm
- prediction accuracy
- statistical analysis
- em algorithm
- genetic programming
- support vector machine
- probabilistic model
- active learning
- pairwise
- database systems
- decision trees