Transfer learning based on sparse Gaussian process for regression.
Kai YangJie LuWanggen WanGuangquan ZhangLi HouPublished in: Inf. Sci. (2022)
Keyphrases
- transfer learning
- gaussian process
- covariance function
- gaussian processes
- sparse approximations
- gaussian process regression
- regression model
- semi supervised
- labeled data
- learning tasks
- model selection
- multi task
- semi supervised learning
- multi task learning
- active learning
- machine learning
- bayesian framework
- approximate inference
- reinforcement learning
- text categorization
- cross domain
- hyperparameters
- domain adaptation
- structure learning
- target domain
- text classification
- latent variables
- learning algorithm
- sparse representation
- machine learning algorithms
- cross validation
- unlabeled data
- text mining
- logistic regression
- bayesian inference
- incremental learning
- generative model
- high dimensional
- pairwise
- support vector
- e learning
- information retrieval