Transfer Learning for Bayesian Optimization with Principal Component Analysis.
Hideyuki MasuiDiego RomeresDaniel NikovskiPublished in: ICMLA (2022)
Keyphrases
- transfer learning
- principal component analysis
- knowledge transfer
- learning tasks
- labeled data
- reinforcement learning
- semi supervised learning
- collaborative filtering
- active learning
- text classification
- cross domain
- transfer knowledge
- manifold alignment
- structure learning
- text mining
- domain adaptation
- machine learning
- multi task learning
- dimensionality reduction
- bayesian networks
- face recognition
- machine learning algorithms
- maximum likelihood
- target domain
- neural network
- text categorization
- test data
- low dimensional
- nearest neighbor
- information extraction
- decision trees