Imprecise weighted extensions of random forests for classification and regression.
Lev V. UtkinMaxim S. KovalevFrank P. A. CoolenPublished in: Appl. Soft Comput. (2020)
Keyphrases
- random forests
- regression forests
- tree ensembles
- regression problems
- decision trees
- classification and regression trees
- machine learning algorithms
- random forest
- regression trees
- ensemble methods
- accurate classifiers
- randomized trees
- k nearest neighbour
- support vector
- logistic regression
- feature selection
- training set
- text classification
- machine learning methods
- single pass
- base learners
- model selection
- head pose estimation
- classification algorithm
- cross validation
- feature extraction
- machine learning
- decision tree ensembles
- conformal prediction
- genetic programming
- feature vectors
- nearest neighbour
- linear regression
- image classification
- classification accuracy
- feature space
- image segmentation
- learning algorithm