Scalable GP with hyperparameters sharing based on transfer learning for solving expensive optimization problems.
Caie HuSanyou ZengChanghe LiPublished in: Appl. Soft Comput. (2023)
Keyphrases
- transfer learning
- hyperparameters
- optimization problems
- covariance function
- genetic programming
- gaussian processes
- model selection
- evolutionary algorithm
- gaussian process regression
- closed form
- gaussian process
- learning tasks
- cross validation
- bayesian framework
- cross domain
- bayesian inference
- labeled data
- prior information
- machine learning
- random sampling
- em algorithm
- maximum likelihood
- sample size
- maximum a posteriori
- multi task
- support vector
- reinforcement learning
- text classification
- semi supervised learning
- transfer knowledge
- learning algorithm
- collaborative filtering
- active learning
- incremental learning
- parameter settings
- genetic algorithm
- noise level
- machine learning algorithms
- incomplete data
- text categorization
- text mining
- missing values
- neural network
- image segmentation
- image reconstruction