Genetic Source Sensitivity and Transfer Learning in Genetic Programming.
Thomas HelmuthEdward R. PantridgeGrace WoolsonLee SpectorPublished in: ALIFE (2020)
Keyphrases
- transfer learning
- genetic programming
- target domain
- source domain
- learning tasks
- genetic algorithm
- domain adaptation
- cross domain
- evolutionary computation
- reinforcement learning
- machine learning
- knowledge transfer
- labeled data
- previously learned
- symbolic regression
- collaborative filtering
- semi supervised learning
- structure learning
- multi task learning
- multi task
- manifold alignment
- text categorization
- transfer knowledge
- machine learning algorithms
- active learning
- evolutionary algorithm
- unlabeled data
- learning algorithm
- transferring knowledge
- cross domain learning
- multiple sources
- text mining
- data mining
- text classification
- learning problems
- knowledge discovery
- logistic regression
- dimensionality reduction