Solving regression problems with rule-based ensemble classifiers.
Nitin IndurkhyaSholom M. WeissPublished in: KDD (2001)
Keyphrases
- regression problems
- ensemble classifier
- linear regression
- genetic programming
- cross validation
- support vector machine
- random forests
- random forest
- feature selection
- ensemble methods
- ensemble learning
- high dimensional data
- hyperparameters
- support vector machine svm
- classification models
- concept drift
- decision trees
- prediction accuracy
- data sets
- feature extraction
- base classifiers
- pattern recognition
- multi task
- input image
- prior knowledge