Bounds on the moments for an ensemble of random decision trees.
Amit DhurandharPublished in: Knowl. Inf. Syst. (2015)
Keyphrases
- decision trees
- ensemble methods
- random forest
- base classifiers
- random forests
- concept drifting data streams
- training data
- upper bound
- training set
- lower bound
- neural network
- decision tree induction
- naive bayes
- ensemble learning
- decision tree ensembles
- decision tree classifiers
- random subspaces
- ensemble classifier
- support vector
- worst case
- combining classifiers
- machine learning algorithms
- decision tree algorithm
- rule induction
- fourier descriptors
- lower and upper bounds
- data sets
- binary classification problems
- randomized trees
- error bounds
- machine learning
- vc dimension
- decision tree learning
- multi class
- feature selection
- attribute selection
- feature construction
- imbalanced data
- rule sets
- upper and lower bounds
- zernike moments