Approach to Predict Software Vulnerability Based on Multiple-Level N-gram Feature Extraction and Heterogeneous Ensemble Learning.
Bing ZhangYuan GaoJingyi WuNing WangQian WangJiadong RenPublished in: Int. J. Softw. Eng. Knowl. Eng. (2022)
Keyphrases
- n gram
- ensemble learning
- feature extraction
- language model
- generalization ability
- feature selection
- ensemble methods
- variable length
- text classification
- random forest
- face recognition
- language modeling
- base classifiers
- feature vectors
- image processing
- concept drift
- image classification
- mutual subspace method
- machine learning
- dimensionality reduction
- principal component analysis
- classification accuracy
- artificial intelligence