Minimizing Depth of Decision Trees with Hypotheses.
Mohammad AzadIgor ChikalovShahid HussainMikhail MoshkovPublished in: IJCRS (2021)
Keyphrases
- decision trees
- predictive accuracy
- depth map
- naive bayes
- machine learning algorithms
- depth information
- data mining methods
- logistic regression
- decision tree induction
- feature construction
- random forest
- classification rules
- training data
- database
- depth cues
- rule sets
- genetic algorithm
- machine learning
- random forests
- decision tree algorithm
- multiple hypotheses
- hypothesis formation
- constructive induction
- boosted decision trees
- classification trees
- rule induction
- base classifiers
- multi class
- evolutionary algorithm
- case study
- computer vision
- neural network