Applying Code Vectors for Presenting Software Features in Machine Learning.
Hyun-il LimPublished in: COMPSAC (1) (2018)
Keyphrases
- machine learning
- machine learning approaches
- source code
- feature space
- feature vectors
- feature extraction
- pattern recognition
- computer science
- feature set
- computer vision
- low level
- fully functional
- software architecture
- software systems
- linux kernel
- principal component analysis
- natural language processing
- information extraction
- classification accuracy
- training data