Effects of Integrated Instance-Random-Sampling and Feature Reduction on Classifiers Performance and Training Speed.
Reham M. AlamroAbdou YoussefPublished in: ICTAI (2019)
Keyphrases
- random sampling
- feature reduction
- training speed
- support vector machine
- rough sets
- active learning
- text categorization
- feature selection
- feature set
- random forest
- sample size
- training process
- learning rate
- linear discriminant analysis
- classification algorithm
- hyperparameters
- classification accuracy
- knn
- training data
- svm classifier
- support vector
- feature vectors
- sliding window
- principal component analysis
- feature extraction
- k nearest neighbor
- text classification
- bp neural network
- decision trees
- training set
- e learning
- artificial neural networks
- neural network
- support vector machine svm
- fuzzy logic
- multi class