Selecting Hyper-Parameters of Gaussian Process Regression Based on Non-Inertial Particle Swarm Optimization in Internet of Things.
Lanlan KangRuey-Shun ChenNaixue XiongYeh-Cheng ChenYu-Xi HuChien-Ming ChenPublished in: IEEE Access (2019)
Keyphrases
- gaussian process
- hyperparameters
- model selection
- cross validation
- gaussian processes
- bayesian framework
- bayesian inference
- random sampling
- closed form
- support vector
- prior information
- em algorithm
- noise level
- maximum a posteriori
- maximum likelihood
- posterior distribution
- sample size
- variational bayes
- incremental learning
- incomplete data
- missing values
- parameter space
- parameter settings
- bayesian methods
- missing data
- parameter estimation
- regression model
- markov random field
- genetic algorithm
- data sets
- noise reduction
- generative model
- semi supervised
- evolutionary algorithm