Some Results on Weakly Accurate Base Learners for Boosting Regression and Classification.
Wenxin JiangPublished in: Multiple Classifier Systems (2000)
Keyphrases
- base learners
- ensemble methods
- classification algorithm
- regression problems
- ensemble learning
- gradient boosting
- decision trees
- cost sensitive
- meta learning
- random forests
- learning scheme
- generalization ability
- learning algorithm
- base classifiers
- training process
- classification models
- training data
- learning tasks
- cross validation
- support vector machine
- weak classifiers
- benchmark datasets
- decision stumps
- machine learning methods
- loss function
- feature selection
- pattern recognition
- support vector
- classification accuracy
- random forest
- training set
- machine learning
- prediction accuracy
- machine learning algorithms
- hyperparameters
- active learning
- training samples
- genetic programming
- multi class
- class labels
- bayesian networks
- support vector machine svm
- image classification