Geodesic Kernel embedding Distribution Alignment for domain adaptation.
Deng PanHyunho YangPublished in: J. Comput. Methods Sci. Eng. (2020)
Keyphrases
- domain adaptation
- manifold alignment
- reproducing kernel hilbert space
- cross domain
- multiple sources
- labeled data
- transfer learning
- semi supervised
- geodesic distance
- sentiment classification
- unlabeled data
- data distribution
- kernel function
- document classification
- graph embedding
- embedding space
- target domain
- support vector
- kernel methods
- vector space
- covariate shift
- test set
- semi supervised learning
- multi view
- training data