Ensemble of Pruned Networks for Reliable Classifiers.
Zhen GaoHan ZhangXiaohui WeiJiajun XiaoShulin ZengGuangjun GeYu WangPedro ReviriegoPublished in: AICAS (2021)
Keyphrases
- ensemble learning
- ensemble pruning
- pruning algorithm
- multiple classifiers
- classifier ensemble
- ensemble classifier
- training data
- training set
- neural network ensemble
- majority voting
- final classification
- feature selection
- randomized trees
- support vector
- ensemble members
- accurate classifiers
- majority vote
- class label noise
- concept drifting data streams
- mining concept drifting data streams
- social networks
- weighted voting
- data sets
- one class support vector machines
- decision tree classifiers
- ensemble methods
- weak learners
- individual classifiers
- multiple classifier systems
- complex networks
- ensemble classification
- machine learning
- classification systems
- decision trees
- feature ranking
- multi class
- imbalanced data
- svm classifier
- binary classifiers
- machine learning methods
- test set
- diversity measures
- feature vectors
- trained classifiers
- rule induction algorithm
- linear classifiers
- random forest
- weak classifiers