A deep transfer regression method based on seed replacement considering balanced domain adaptation.
Teng ZhangHao SunFangyu PengShengqiang ZhaoRong YanPublished in: Eng. Appl. Artif. Intell. (2022)
Keyphrases
- domain adaptation
- regression method
- cross domain
- transfer learning
- source domain
- target domain
- labeled data
- knowledge transfer
- semi supervised learning
- regression model
- kernel function
- semi supervised
- support vector regression
- linear regression
- multiple sources
- sentiment classification
- partial least squares
- transfer knowledge
- regression analysis
- knn
- test data
- text categorization
- k nearest neighbor
- reinforcement learning
- text classification
- cross lingual
- e government
- least squares
- feature vectors
- training data
- decision trees
- computer vision
- machine learning