Unsupervised Dimensionality Reduction for Transfer Learning.
Patrick BlöbaumAlexander SchulzBarbara HammerPublished in: ESANN (2015)
Keyphrases
- transfer learning
- unsupervised dimensionality reduction
- dimensionality reduction
- principal component analysis
- text categorisation
- low dimensional
- active learning
- learning tasks
- knowledge transfer
- labeled data
- reinforcement learning
- cross domain
- data points
- high dimensional
- domain adaptation
- text mining
- transfer knowledge
- manifold alignment
- semi supervised learning
- machine learning
- pattern recognition
- multi task learning
- multi task
- collaborative filtering
- target domain
- text categorization
- linear discriminant analysis
- principal components analysis
- unsupervised learning
- text classification
- feature space
- feature selection
- learning algorithm
- high dimensional data
- manifold learning
- data sets
- training data
- feature extraction
- data mining
- machine learning algorithms
- unlabeled data
- k nearest neighbor
- semi supervised
- decision trees
- transferring knowledge