Transfer learning for regression via latent variable represented conditional distribution alignment.
Xu LiuYingguang LiGengxiang ChenPublished in: Knowl. Based Syst. (2022)
Keyphrases
- transfer learning
- conditional distribution
- latent variables
- gaussian process
- latent variable models
- gaussian processes
- random variables
- posterior distribution
- latent space
- regression model
- learning tasks
- probabilistic model
- multi task learning
- knowledge transfer
- cross domain
- reinforcement learning
- labeled data
- approximate inference
- machine learning
- hidden variables
- real valued
- multi task
- model selection
- active learning
- text categorization
- learning problems
- machine learning algorithms
- semi supervised
- learning algorithm
- prior knowledge
- probability distribution
- semi supervised learning
- hyperparameters
- hidden markov models
- bayesian networks
- text classification
- graphical models
- collaborative filtering
- support vector
- topic models
- text mining
- target domain
- image segmentation
- em algorithm
- cross validation
- generative model
- decision trees