A particle swarm optimization based feature selection approach to transfer learning in classification.
Bach Hoai NguyenBing XuePeter AndreaePublished in: GECCO (2018)
Keyphrases
- transfer learning
- feature selection
- text classification
- machine learning
- particle swarm optimization
- text categorization
- classification accuracy
- cross domain learning
- multi task
- knowledge transfer
- learning tasks
- cross domain
- machine learning algorithms
- feature space
- support vector machine
- feature extraction
- labeled data
- support vector
- document classification
- model selection
- reinforcement learning
- unsupervised learning
- cross domain text classification
- classification models
- neural network
- k nearest neighbor
- feature set
- text mining
- feature subset
- decision trees
- label information
- semi supervised learning
- unlabeled data
- information retrieval
- natural language processing
- manifold alignment
- multi task learning
- data mining
- transferring knowledge
- transfer knowledge
- structure learning
- learning algorithm
- bayesian networks
- multi class
- collaborative filtering
- dimensionality reduction
- domain specific