Adaptive Ensemble Learning Strategy Using an Assistant Classifier for Large-Scale Imbalanced Patent Categorization.
Qi KongHai ZhaoBao-Liang LuPublished in: ICONIP (1) (2010)
Keyphrases
- learning strategies
- feature selection
- learning capabilities
- binary classification problems
- ensemble learning
- training set
- training data
- classifier ensemble
- online learning
- ensemble classifier
- multiple classifiers
- decision tree classifiers
- learning algorithm
- active learning
- final classification
- imbalanced data
- text categorization
- pruning algorithm
- individual classifiers
- decision trees
- neural network
- weak learners
- classifier combination
- ensemble methods
- training samples
- combining classifiers
- class imbalance
- human learning
- virtual learning environments
- blended learning
- majority voting
- minority class
- classification algorithm
- support vector machine
- feature space
- ensemble members
- prior art
- class distribution
- single class
- multiple classifier systems
- training dataset
- random forest
- cost sensitive
- svm classifier
- multi class
- support vector
- machine learning