Ligand Classifier of Adaptively Boosting Ensemble Decision Stumps (LiCABEDS) and Its Application on Modeling Ligand Functionality for 5HT-Subtype GPCR Families.
Chao MaLirong WangXiang-Qun XiePublished in: J. Chem. Inf. Model. (2011)
Keyphrases
- decision stumps
- ensemble learning
- ensemble classifier
- weak classifiers
- base learners
- base classifiers
- decision forest
- ensemble methods
- kernel machines
- imbalanced data
- learning algorithm
- decision trees
- selection algorithm
- weak learners
- leave one out cross validation
- logistic regression
- generalization bounds
- linear combination
- classification error
- concept drift
- support vector machine
- generalization ability
- meta learning
- object class
- random forest
- prediction accuracy
- fusion method
- cost sensitive
- training samples
- feature set