Bounded exponential loss function based AdaBoost ensemble of OCSVMs.
Hong-Jie XingWei-Tao LiuXi-Zhao WangPublished in: Pattern Recognit. (2024)
Keyphrases
- loss function
- base learners
- boosting algorithms
- weak learners
- ensemble methods
- base classifiers
- ensemble learning
- support vector
- classifier ensemble
- pairwise
- multi class
- logistic regression
- learning algorithm
- training data
- weak classifiers
- random forests
- ensemble classifier
- learning to rank
- machine learning methods
- risk minimization
- empirical risk
- object detection
- decision trees
- cost sensitive
- regularization term
- training set
- reproducing kernel hilbert space
- boosting framework
- random forest
- generalization ability
- benchmark datasets
- prediction accuracy
- feature selection
- weight vector
- classifier combination
- stochastic gradient descent
- decision function