Geometric Heuristics for Transfer Learning in Decision Trees.
Siddhesh ChaubalMateusz RzepeckiPatrick K. NicholsonGuangyuan PiaoAlessandra SalaPublished in: CIKM (2021)
Keyphrases
- transfer learning
- decision trees
- machine learning algorithms
- machine learning
- learning tasks
- knowledge transfer
- labeled data
- cross domain
- active learning
- domain adaptation
- reinforcement learning
- transfer knowledge
- structure learning
- text classification
- multi task
- text categorization
- naive bayes
- semi supervised learning
- training data
- manifold alignment
- learning algorithm
- target domain
- multi task learning
- transferring knowledge
- logistic regression
- unlabeled data
- learning problems
- semi supervised
- information retrieval
- geometric structure
- collaborative filtering
- supervised learning
- support vector machine
- data analysis
- similarity measure