Hyperparameters Adaptive Sharing Based on Transfer Learning for Scalable GPs.
Caie HuSanyou ZengChanghe LiPublished in: CEC (2022)
Keyphrases
- transfer learning
- hyperparameters
- model selection
- learning tasks
- cross validation
- knowledge transfer
- random sampling
- active learning
- bayesian framework
- machine learning
- closed form
- support vector
- cross domain
- bayesian inference
- reinforcement learning
- labeled data
- em algorithm
- collaborative filtering
- multi task learning
- semi supervised learning
- multi task
- text categorization
- sample size
- maximum a posteriori
- transfer knowledge
- noise level
- gaussian process
- gaussian processes
- text mining
- text classification
- learning algorithm
- target domain
- maximum likelihood
- incremental learning
- prior information
- incomplete data
- knowledge sharing
- knn
- unsupervised learning
- unlabeled data
- principal component analysis
- object recognition
- bayesian networks
- feature selection
- missing values