Exploiting kernel-based feature weighting and instance clustering to transfer knowledge across domains.
Jafar TahmoresnezhadSattar HashemiPublished in: Turkish J. Electr. Eng. Comput. Sci. (2017)
Keyphrases
- feature weighting
- transfer knowledge
- transfer learning
- text categorization
- text classification
- feature selection
- clustering algorithm
- knowledge transfer
- multi task
- target domain
- clustering method
- k means
- cross domain
- multiple features
- learning tasks
- tf idf
- support vector machine
- document clustering
- similarity measure
- unsupervised learning
- feature extraction
- data points
- neural network