Multi-Tree Genetic Programming-based Transformation for Transfer Learning in Symbolic Regression with Highly Incomplete Data.
Baligh Al-HelaliQi ChenBing XueMengjie ZhangPublished in: CEC (2020)
Keyphrases
- symbolic regression
- transfer learning
- genetic programming
- incomplete data
- gene expression programming
- learning tasks
- missing values
- evolutionary computation
- missing data
- fitness function
- bayesian networks
- em algorithm
- grammatical evolution
- structure learning
- semi supervised learning
- hyperparameters
- reinforcement learning
- machine learning
- regression problems
- text categorization
- active learning
- text classification
- labeled data
- collaborative filtering
- evolutionary algorithm
- multi task
- software package
- machine learning algorithms
- learning algorithm
- multi task learning
- support vector
- genetic algorithm
- parameter optimization
- text mining
- feature selection
- unlabeled data
- data mining
- probabilistic model
- semi supervised
- supervised learning
- expectation maximization