A Gaussian process regression based on variable parameters fuzzy dominance genetic algorithm for B-TFPMM torque estimation.
Xiaqing PeiYuanjun ZhouNa WangPublished in: Neurocomputing (2019)
Keyphrases
- gaussian process
- hyperparameters
- genetic algorithm
- gaussian processes
- conditional distribution
- model selection
- regression model
- parameter estimation
- gaussian process regression
- approximate inference
- bayesian framework
- gaussian process classification
- latent variables
- cross validation
- marginal likelihood
- semi supervised
- sparse approximations
- support vector
- bayesian inference
- closed form
- parameter settings
- random sampling
- covariance function
- expectation propagation
- evolutionary algorithm
- maximum likelihood
- expectation maximization
- fitness function
- incremental learning
- em algorithm
- sample size
- noise level
- parameter values
- gaussian process models
- posterior distribution
- density estimation
- bayesian methods
- learning process
- parameter space
- machine learning