Transfer Learning With Intelligent Training Data Selection for Prediction of Alzheimer's Disease.
Naimul Mefraz KhanNabila AbrahamMarcia HonPublished in: IEEE Access (2019)
Keyphrases
- transfer learning
- training data
- labeled data
- target domain
- domain adaptation
- semi supervised learning
- learning tasks
- unlabeled data
- knowledge transfer
- training and test data
- active learning
- learning algorithm
- source domain
- reinforcement learning
- labeled examples
- supervised learning
- structure learning
- data sets
- multi task
- machine learning algorithms
- semi supervised
- cross domain
- machine learning
- text classification
- label information
- test data
- labeled training data
- transfer knowledge
- text categorization
- decision trees
- training set
- collaborative filtering
- transferring knowledge
- training samples
- support vector machine
- manifold alignment
- nearest neighbor
- class labels
- prior knowledge
- previously learned
- text mining
- multi task learning
- labeled and unlabeled data
- model selection
- object recognition
- support vector
- unsupervised learning
- multiple sources
- context sensitive