Divide, Conquer, Combine Bayesian Decision Tree Sampling.
Jodie A. CochraneAdrian WillsSarah J. JohnsonPublished in: CoRR (2024)
Keyphrases
- decision trees
- decision tree induction
- decision tree algorithm
- sampling methods
- markov chain monte carlo
- data driven
- information gain
- predictive accuracy
- sampling strategy
- random sampling
- posterior probability
- machine learning
- machine learning algorithms
- bayesian networks
- sampling strategies
- sequential monte carlo
- attribute selection
- bayesian estimation
- decision tree learning
- bayesian learning
- prior knowledge
- decision tree classifiers
- posterior distribution
- classification models
- logistic regression
- bayesian analysis
- sample size
- decision tree algorithms
- decision forest
- neural network
- decision tree learning algorithm
- bayes classifier
- classification trees
- sampling algorithm
- bayesian methods
- monte carlo
- decision rules
- naive bayes
- generative model
- learning algorithm