Boosting: An Ensemble Learning Tool for Compound Classification and QSAR Modeling.
Vladimir SvetnikTing WangChristopher TongAndy LiawRobert P. SheridanQinghua SongPublished in: J. Chem. Inf. Model. (2005)
Keyphrases
- learning tools
- weak learners
- ensemble classifier
- ensemble classification
- feature selection
- ensemble methods
- ensemble learning
- multiple classifier systems
- majority voting
- training set
- learning experience
- weak classifiers
- classification accuracy
- final classification
- base classifiers
- classification algorithm
- text classification
- support vector
- decision trees
- accurate classifiers
- generalization ability
- neural network
- randomized trees
- machine learning
- learning algorithm
- benchmark datasets
- classification models
- concept mapping
- feature space
- active learning
- model selection
- support vector machine svm
- base learners
- distance learning
- cost sensitive
- classifier ensemble
- foreign language
- class labels
- engineering education
- multi class classification
- machine learning methods
- combining classifiers
- concept maps