On PAC-Bayesian Bounds for Random Forests.
Stephan Sloth LorenzenChristian IgelYevgeny SeldinPublished in: CoRR (2018)
Keyphrases
- pac bayesian
- random forests
- distribution free
- random forest
- decision trees
- data dependent
- machine learning algorithms
- logistic regression
- generalization bounds
- ensemble methods
- rademacher complexity
- decision tree ensembles
- error bounds
- prediction accuracy
- learning algorithm
- image segmentation
- normal distribution
- neural network