Feature selection for domain adaptation using complexity measures and swarm intelligence.
Guillermo Castillo GarcíaLaura Morán-FernándezVerónica Bolón-CanedoPublished in: Neurocomputing (2023)
Keyphrases
- swarm intelligence
- domain adaptation
- complexity measures
- feature selection
- cross domain
- particle swarm optimization
- computational intelligence
- text categorization
- ant colony optimization
- multiple sources
- evolutionary computation
- semi supervised
- nearest neighbor classifier
- labeled data
- text classification
- theoretical and empirical study
- particle swarm optimization pso
- lower bound
- feature set
- sentiment classification
- test data
- document classification
- learning paradigms
- machine learning
- transfer learning
- model selection
- target domain
- semi supervised learning
- classification accuracy
- feature extraction
- unlabeled data
- co training
- support vector
- training data
- differential evolution
- data sets
- unsupervised learning
- dimensionality reduction
- support vector machine
- active learning
- search space
- data mining