Increasing diversity in random forest learning algorithm via imprecise probabilities.
Joaquín AbellánCarlos Javier MantasJavier G. CastellanoSerafín MoralPublished in: Expert Syst. Appl. (2018)
Keyphrases
- random forest
- learning algorithm
- imprecise probabilities
- random forests
- decision trees
- feature set
- ensemble methods
- machine learning algorithms
- machine learning
- training data
- reinforcement learning
- multi label
- image processing
- base classifiers
- supervised learning
- information processing
- training samples
- graphical models
- active learning
- training examples
- machine learning methods
- text mining
- pairwise
- bayesian networks
- handling uncertainty
- multicriteria decision making
- face recognition