How to Achieve High Classification Accuracy with Just a Few Labels: A Semi-supervised Approach Using Sampled Packets.
Shahbaz RezaeiXin LiuPublished in: CoRR (2018)
Keyphrases
- semi supervised
- achieve high classification accuracy
- label propagation
- pairwise
- pairwise constraints
- unlabeled samples
- fully supervised
- label information
- labeled examples
- semi supervised learning
- partially labeled
- labeled data
- classification accuracy
- partially labeled data
- labeled samples
- unlabeled data
- multi label classification
- active learning
- document classification
- supervised learning
- fully labeled
- weakly supervised
- class labels
- unsupervised learning
- training data
- packet loss
- training examples
- multi view
- semi supervised classification
- data sets
- co training
- semi supervised clustering
- metric learning
- labeled and unlabeled data
- multi label
- prior knowledge
- data mining
- constrained clustering
- knowledge discovery
- training set