Ensemble Wrapper Subsampling for Deep Modulation Classification.
Sharan RamjeeShengtai JuDiyu YangXiaoyu LiuAly El GamalYonina C. EldarPublished in: CoRR (2020)
Keyphrases
- feature selection
- wrapper feature selection
- machine learning
- pattern recognition
- classification scheme
- feature ranking
- training set
- classification accuracy
- preprocessing
- decision trees
- automatic classification
- ensemble methods
- image classification
- majority voting
- neural network
- classification systems
- final classification
- machine learning methods
- machine learning algorithms
- support vector machine svm
- unsupervised learning
- feature space
- support vector machine
- text categorization
- pattern classification
- concept drifting data streams
- cost sensitive
- ensemble classification
- random forests
- decision rules
- feature vectors
- classifier ensemble
- web pages
- imbalanced data
- weak learners
- support vector
- data sets
- ensemble classifier
- regression problems
- weak classifiers
- supervised learning
- feature set
- black box
- text classification