Overcoming the Lack of Labeled Data: Training Intrusion Detection Models Using Transfer Learning.
Ankush SinglaElisa BertinoDinesh C. VermaPublished in: SMARTCOMP (2019)
Keyphrases
- transfer learning
- labeled data
- intrusion detection
- unlabeled data
- semi supervised learning
- supervised learning
- semi supervised
- labeled training data
- anomaly detection
- learning tasks
- training examples
- active learning
- training and test data
- text classification
- training data
- knowledge transfer
- domain adaptation
- data points
- prior knowledge
- target domain
- labeled examples
- reinforcement learning
- class labels
- machine learning
- cross domain
- machine learning algorithms
- co training
- transferring knowledge
- text categorization
- data mining
- learning algorithm
- training set
- neural network
- collaborative filtering
- multi task
- text mining
- test set
- learning problems
- probabilistic model
- feature extraction
- feature selection
- model selection
- label information
- labeled and unlabeled data
- information retrieval
- unsupervised learning