Many or Few Samples? Comparing Transfer, Contrastive and Meta-Learning in Encrypted Traffic Classification.
Idio GuarinoChao WangAlessandro FinamoreAntonio PescapèDario RossiPublished in: CoRR (2023)
Keyphrases
- meta learning
- model selection
- machine learning algorithms
- decision trees
- learning tasks
- training set
- training samples
- meta knowledge
- feature selection
- classification accuracy
- text classification
- inductive learning
- supervised learning
- machine learning
- image classification
- class labels
- data sets
- unsupervised learning
- support vector machine
- transfer learning
- machine learning methods
- prior knowledge
- support vector
- reinforcement learning