Reducing the Cost of Training Security Classifier (via Optimized Semi-Supervised Learning).
Rui ShuTianpei XiaHuy TuLaurie A. WilliamsTim MenziesPublished in: CoRR (2022)
Keyphrases
- semi supervised learning
- labeled training data
- unlabeled data
- supervised learning
- labeled data
- training data
- co training
- semi supervised
- training examples
- labeled instances
- training set
- training samples
- labeled and unlabeled data
- training process
- unlabeled examples
- multi label classification
- number of labeled examples
- active learning
- manifold regularization
- semi supervised classification
- labeled examples
- unsupervised learning
- semi supervised learning methods
- supervised classifiers
- training and test data
- text classification
- multiple kernel learning
- machine learning
- text categorization
- transfer learning
- unlabeled samples
- text classifiers
- learning algorithm
- graph based semi supervised learning
- label propagation
- class labels
- covariate shift
- labeled samples
- learning problems
- support vector machine
- instance selection
- sample selection bias
- decision trees
- feature space
- learning models
- unlabeled instances
- learning tasks
- multiple instance learning
- cost sensitive
- semi supervised learning algorithms
- classification accuracy