Comparison of domain adaptation and active learning techniques for quality of transmission estimation with small-sized training datasets [Invited].
Dario AzzimontiCristina RottondiAlessandro GiustiMassimo TornatoreAndrea BiancoPublished in: JOCN (2021)
Keyphrases
- domain adaptation
- small sized
- active learning
- training dataset
- labeled data
- semi supervised
- unlabeled data
- transfer learning
- training data
- cross domain
- semi supervised learning
- training set
- covariate shift
- multiple sources
- co training
- supervised learning
- class labels
- document classification
- sentiment classification
- target domain
- data mining
- text classification
- learning algorithm
- test data
- knowledge transfer
- error rate
- feature representation
- web documents
- model selection
- learning process
- machine learning
- trained classifiers
- data sets