Differential Evolution Based Manifold Gaussian Process Machine Learning for Microwave Filter's Parameter Extraction.
Xuezhi ChenYubo TianTianliang ZhangJing GaoPublished in: IEEE Access (2020)
Keyphrases
- differential evolution
- gaussian process
- machine learning
- model selection
- evolutionary algorithm
- gaussian processes
- information extraction
- optimization algorithm
- differential evolution algorithm
- regression model
- particle swarm optimization
- hyperparameters
- parameter space
- bayesian framework
- latent variables
- genetic algorithm
- parameter values
- semi supervised
- control parameters
- parameter optimization
- learning algorithm
- learning tasks
- multi objective
- low dimensional
- prior information
- supervised learning
- active learning
- text mining
- learning problems
- closed form
- fitness function
- noise reduction
- high dimensional data
- parameter settings
- transfer learning
- prior knowledge
- feature space
- bayesian networks
- feature selection
- cross validation