Decision tree ensemble machine learning for rapid QSTS simulations.
Logan BlakelyMatthew J. RenoRobert J. BroderickPublished in: ISGT (2018)
Keyphrases
- decision trees
- machine learning
- ensemble methods
- random forests
- random forest
- machine learning algorithms
- base classifiers
- learning algorithm
- training data
- decision tree classifiers
- decision tree algorithm
- rule induction algorithm
- decision tree construction
- training set
- machine learning methods
- predictive accuracy
- decision tree induction
- decision tree learning
- feature construction
- meta learning
- naive bayes
- numerical simulations
- ensemble classifier
- neural network
- logistic regression
- feature selection
- induction algorithms
- semi supervised learning
- learning problems
- majority voting
- knowledge acquisition
- inductive learning
- supervised learning
- information extraction
- inductive bias
- computer vision
- machine learning approaches
- classifier ensemble
- classification trees
- decision tree induction algorithm
- explanation based learning
- ensemble learning
- classification models
- learning systems
- model selection
- text mining
- knowledge discovery
- active learning
- data analysis
- computer science
- pattern recognition
- artificial intelligence
- data mining