An adaptive Gaussian process based manifold transfer learning to expensive dynamic multi-objective optimization.
Xi ZhangGuo YuYaochu JinFeng QianPublished in: Neurocomputing (2023)
Keyphrases
- multi objective optimization
- transfer learning
- gaussian process
- manifold alignment
- multi objective
- latent space
- gaussian processes
- evolutionary algorithm
- learning tasks
- multi task learning
- semi supervised
- multi task
- bayesian framework
- structure learning
- model selection
- genetic algorithm
- active learning
- reinforcement learning
- labeled data
- regression model
- cross domain
- text classification
- differential evolution
- approximate inference
- latent variables
- semi supervised learning
- hyperparameters
- machine learning
- transfer knowledge
- machine learning algorithms
- text mining
- prior knowledge
- high dimensional
- objective function
- unlabeled data
- text categorization
- low dimensional
- target domain
- data mining
- fitness function