Covariate Shift Adaptation in High-Dimensional and Divergent Distributions.
Felipe Maia PoloRenato VicentePublished in: CoRR (2020)
Keyphrases
- covariate shift
- training and test data
- high dimensional
- model selection
- test data
- training data
- domain adaptation
- semi supervised learning
- cross validation
- data generation
- learning problems
- low dimensional
- text classification
- test set
- high dimensional data
- kernel matrix
- transfer learning
- nearest neighbor
- similarity search
- labeled data
- dimensionality reduction
- learning algorithm
- feature space
- variable selection
- missing values
- unlabeled data
- input space
- machine learning algorithms
- active learning
- text categorization
- feature generation
- kernel function
- feature extraction