Measuring the Algorithmic Convergence of Randomized Ensembles: The Regression Setting.
Miles E. LopesSuofei WuThomas C. M. LeePublished in: SIAM J. Math. Data Sci. (2020)
Keyphrases
- regression model
- regression algorithm
- convergence rate
- decision trees
- upper confidence bound
- locally weighted
- support vector regression
- regression trees
- polynomial regression
- linear regression
- ensemble learning
- regression analysis
- regression problems
- model selection
- global convergence
- least squares
- artificial neural networks
- data sets