Empirical Analysis of the AdaBoost's Error Bound.
Arman BolatovKaisar DauletbekPublished in: CoRR (2023)
Keyphrases
- empirical analysis
- error bounds
- theoretical analysis
- face detection
- multi class
- object detection
- learning algorithm
- decision trees
- training data
- support vector
- adaboost algorithm
- empirical studies
- feature selection
- finite sample
- listed companies
- worst case
- base classifiers
- ensemble learning
- boosting algorithms
- wavelet synopses
- training error
- feature extraction
- rademacher complexity
- weak classifiers
- ensemble methods
- upper bound