Tuning Hyperparameters of Decision Tree Classifiers Using Computationally Efficient Schemes.
Wedad AlawadMohamed A. ZohdyDebatosh DebnathPublished in: AIKE (2018)
Keyphrases
- decision tree classifiers
- hyperparameters
- computationally efficient
- model selection
- cross validation
- bayesian inference
- closed form
- decision trees
- parameter settings
- random sampling
- bayesian framework
- noise level
- support vector
- prior information
- sample size
- decision forest
- em algorithm
- maximum likelihood
- maximum a posteriori
- pruning algorithm
- incomplete data
- incremental learning
- missing values
- computational complexity
- parameter space
- data sets
- regression model
- machine learning
- noisy images
- expectation maximization
- knn
- probabilistic model
- prior knowledge
- training data