RJHMC-Tree for Exploration of the Bayesian Decision Tree Posterior.
Jodie A. CochraneAdrian G. WillsSarah J. JohnsonPublished in: CoRR (2023)
Keyphrases
- decision trees
- posterior distribution
- posterior probability
- tree construction
- decision tree learning
- decision tree classifiers
- classification trees
- decision tree learning algorithm
- leaf nodes
- multivariate decision trees
- bayesian networks
- tree structure
- probability distribution
- decision tree induction
- bayesian framework
- fuzzy decision trees
- predictive accuracy
- machine learning algorithms
- generative model
- decision forest
- tree induction
- probabilistic model
- maximum a posteriori
- bayesian inference
- decision tree learners
- induction algorithms
- naive bayes
- regression trees
- tree structures
- decision tree algorithm
- maximum likelihood
- hyperparameters
- parameter estimation
- b tree
- logistic regression
- graphical models
- gaussian processes
- gaussian process
- constructive induction
- information gain
- random forest
- training set
- tree nodes
- probability density function
- hierarchical structure
- model averaging
- data mining