Gaussian Process Latent Variable Model-Based Multi-Output Modeling of Incomplete Data.
Zhiyong HuChao WangJianguo WuDongping DuPublished in: IEEE Trans Autom. Sci. Eng. (2024)
Keyphrases
- gaussian process
- incomplete data
- latent variables
- hyperparameters
- gaussian processes
- gaussian process models
- missing data
- approximate inference
- missing values
- probabilistic model
- hidden variables
- em algorithm
- bayesian networks
- posterior distribution
- prior knowledge
- model selection
- topic models
- bayesian framework
- regression model
- latent variable models
- random variables
- data sets
- semi supervised
- variational inference
- closed form
- pattern recognition
- bayesian methods
- cross validation
- bayesian inference
- expectation maximization
- maximum likelihood
- pairwise
- support vector
- feature extraction
- latent space
- decision trees
- image processing