Predicting Test Execution Times with Asymmetric Random Forests.
Francisco PereiraHelio SilvaJoão GomesJavam C. MachadoPublished in: ESANN (2022)
Keyphrases
- random forests
- execution times
- random forest
- decision trees
- machine learning algorithms
- ensemble methods
- logistic regression
- tree ensembles
- decision tree ensembles
- head pose estimation
- randomized trees
- training data
- neural network
- classification and regression trees
- communication delays
- benchmark datasets
- statistical significance