How the Training Procedure Impacts the Performance of Deep Learning-based Vulnerability Patching.
Antonio MastropaoloVittoria NardoneGabriele BavotaMassimiliano Di PentaPublished in: CoRR (2024)
Keyphrases
- deep learning
- training procedure
- semidefinite programming
- support vector machine
- unsupervised learning
- neural network
- machine learning
- expectation maximization
- learning algorithm
- principal component analysis
- mental models
- radial basis function network
- multiple kernel learning
- data mining
- multi class
- linear programming
- text classification
- data sets
- multiscale
- weak learners
- weakly supervised
- learning rate
- image segmentation
- feature vectors
- viewpoint