Transfer Learning for Feature Dimensionality Reduction.
Nikhila ThribhuvanSudheep ElayidomPublished in: Int. Arab J. Inf. Technol. (2022)
Keyphrases
- transfer learning
- dimensionality reduction
- learning tasks
- knowledge transfer
- labeled data
- machine learning
- cross domain
- manifold alignment
- semi supervised learning
- label information
- active learning
- data points
- text classification
- high dimensional
- text categorization
- multi task learning
- feature extraction
- feature selection
- low dimensional
- transfer knowledge
- domain adaptation
- unlabeled data
- cross domain learning
- learning algorithm
- reinforcement learning
- collaborative filtering
- feature vectors
- target domain
- neural network
- decision trees
- multi task
- principal component analysis
- high dimensional data
- supervised learning
- unsupervised learning
- feature space
- machine learning algorithms
- kernel learning
- information retrieval
- transferring knowledge
- text mining