Scaling Up In-Memory-Computing Classifiers via Boosted Feature Subsets in Banked Architectures.
Yinqi TangJintao ZhangNaveen VermaPublished in: IEEE Trans. Circuits Syst. II Express Briefs (2019)
Keyphrases
- feature subset
- feature selection
- classification models
- feature subset selection
- feature set
- feature selection algorithms
- final classification
- classification accuracy
- feature ranking
- optimal subset of features
- selection algorithm
- feature space
- genetic algorithm ga
- ensemble feature selection
- selected features
- irrelevant features
- svm classifier
- classifier ensemble
- ensemble methods
- individual features
- training data
- fold cross validation
- redundant features
- data sets
- sequential forward selection
- weak classifiers
- classification method
- class labels
- machine learning algorithms
- naive bayes
- multi objective
- feature vectors
- pattern recognition
- decision trees
- neural network