Parameter Tuning using the Out-of-Bootstrap Generalisation Error Estimate for Stochastic Discrimination and Random Forests.
Matthew PriorTerry WindeattPublished in: ICPR (2) (2006)
Keyphrases
- parameter tuning
- random forests
- random forest
- ink bleed
- decision trees
- ensemble methods
- logistic regression
- parameter settings
- confidence intervals
- error rate
- machine learning algorithms
- tree ensembles
- cross validation
- data mining
- head pose estimation
- decision tree ensembles
- model selection
- randomized trees
- image processing
- parameter estimation
- genetic programming
- regression forests