A polynomial kernel neural network classifier based on random sampling and information gain.
Yueyue XiaoWei HuangSung-Kwun OhLiehuang ZhuPublished in: Appl. Intell. (2022)
Keyphrases
- random sampling
- information gain
- neural network
- polynomial kernels
- feature selection
- sample size
- text categorization
- decision trees
- support vector machine
- active learning
- mutual information
- support vector
- kernel function
- artificial neural networks
- hyperparameters
- sliding window
- naive bayes
- linearly separable
- knn
- correlation coefficient
- semi supervised
- feature extraction