Learning accurate and interpretable models based on regularized random forests regression.
Sheng LiuShamitha DissanayakeSanjay PatelXin DangTodd MlsnaYixin ChenDawn WilkinsPublished in: BMC Syst. Biol. (2014)
Keyphrases
- random forests
- learning algorithm
- reinforcement learning
- locally weighted
- prior knowledge
- random forest
- regression trees
- regression problems
- data sets
- decision trees
- machine learning algorithms
- regression model
- linear regression
- decision tree ensembles
- classification and regression trees
- regression methods
- learning scheme
- function approximation
- logistic regression
- model selection
- least squares
- classification accuracy
- image processing