Choosing the Best Auto-Encoder-Based Bagging Classifier: An Empirical Study.
Yifan NieWenge RongYikang ShenChao LiZhang XiongPublished in: ICONIP (1) (2014)
Keyphrases
- ensemble learning
- decision trees
- individual classifiers
- training set
- classifier ensemble
- ensemble classifier
- decision tree classifiers
- ensemble methods
- majority voting
- weak classifiers
- machine learning
- training data
- support vector
- random forests
- learning algorithm
- rate distortion
- bit rate
- feature selection
- support vector machine
- classification algorithm
- weak learners
- motion estimation
- random forest
- generalization error
- class labels
- base classifiers
- imbalanced data
- feature space
- accurate classifiers
- classification method
- ensemble members
- training samples
- linear classifiers
- knn
- svm classifier
- decision forest