Bagging Decision Trees on Data Sets with Classification Noise.
Joaquín AbellánAndrés R. MasegosaPublished in: FoIKS (2010)
Keyphrases
- decision trees
- classification noise
- data sets
- training set
- training data
- ensemble methods
- random forest
- induction algorithms
- base classifiers
- random forests
- naive bayes
- classification trees
- decision lists
- machine learning
- noise tolerant
- machine learning algorithms
- pac learning
- classification models
- uniform distribution
- naive bayes classifier
- rule sets
- text classification
- imbalanced data
- classification rules
- upper bound
- concept classes
- class conditional
- boolean functions
- agnostic learning