Many or Few Samples?: Comparing Transfer, Contrastive and Meta-Learning in Encrypted Traffic Classification.
Idio GuarinoChao WangAlessandro FinamoreAntonio PescapèDario RossiPublished in: TMA (2023)
Keyphrases
- meta learning
- decision trees
- model selection
- machine learning algorithms
- inductive learning
- training samples
- machine learning
- learning tasks
- feature selection
- meta knowledge
- classification accuracy
- image classification
- supervised learning
- class labels
- support vector
- text classification
- feature vectors
- training set
- support vector machine
- machine learning methods
- data mining
- data sets
- unsupervised learning
- support vector machine svm
- development process
- cost sensitive
- learning algorithm
- metamodel
- base classifiers