Phase Transitions in Transfer Learning for High-Dimensional Perceptrons.
Oussama DhifallahYue M. LuPublished in: Entropy (2021)
Keyphrases
- transfer learning
- phase transition
- high dimensional
- learning tasks
- constraint satisfaction
- satisfiability problem
- random constraint satisfaction problems
- knowledge transfer
- low dimensional
- np complete
- active learning
- transfer knowledge
- random instances
- high dimensional data
- semi supervised learning
- cross domain
- reinforcement learning
- randomly generated
- feature space
- machine learning
- labeled data
- collaborative filtering
- dimensionality reduction
- multi task
- manifold alignment
- learning algorithm
- multi task learning
- nearest neighbor
- text classification
- target domain
- sat problem
- text categorization
- pairwise
- data points
- cellular automata
- machine learning algorithms
- transferring knowledge
- objective function
- data sets
- training data
- text mining
- random sat
- cross domain learning