Transfer learning and active transfer learning for reducing calibration data in single-trial classification of visually-evoked potentials.
Dongrui WuBrent LanceVernon LawhernPublished in: SMC (2014)
Keyphrases
- transfer learning
- labeled data
- machine learning
- text classification
- transfer knowledge
- reinforcement learning
- target domain
- unlabeled data
- machine learning algorithms
- data sets
- semi supervised learning
- collaborative filtering
- cross domain
- text categorization
- data analysis
- learning algorithm
- active learning
- data points
- class labels
- semi supervised
- training data
- knowledge discovery
- image classification
- decision trees
- computer vision
- feature vectors
- pattern recognition