Selective Targeted Transfer Learning for Malware Classification.
Priyanka AggarwalSayyed Farid AhamedSachin ShettyLaura J. FreemanPublished in: TPS-ISA (2021)
Keyphrases
- transfer learning
- text classification
- cross domain learning
- machine learning
- knowledge transfer
- learning tasks
- machine learning algorithms
- cross domain text classification
- active learning
- reinforcement learning
- labeled data
- feature selection
- text categorization
- cross domain
- label information
- collaborative filtering
- semi supervised learning
- feature vectors
- document classification
- learning problems
- knowledge sharing
- structure learning
- cross validation
- unsupervised learning
- transfer knowledge
- manifold alignment
- supervised learning
- feature space
- support vector
- feature extraction
- decision trees
- unlabeled data
- domain adaptation
- multi task
- text mining
- natural language processing
- support vector machine
- learning algorithm