A Novel Semi-Supervised Sparse Bayesian Regression Based on Variational Inference for Industrial Datasets With Incomplete Outputs.
Jun ZhaoLong ChenWitold PedryczWei WangPublished in: IEEE Trans. Syst. Man Cybern. Syst. (2020)
Keyphrases
- variational inference
- semi supervised
- gaussian process
- gaussian processes
- bayesian inference
- topic models
- labeled data
- approximate inference
- semi supervised learning
- mixture model
- probabilistic graphical models
- unsupervised learning
- latent dirichlet allocation
- variational methods
- posterior distribution
- closed form
- probabilistic model
- incremental learning
- pairwise
- exponential family
- active learning
- exact inference
- language model
- factor graphs
- supervised learning
- co occurrence
- machine learning
- model selection
- hyperparameters
- multi task
- missing data
- regression model
- bayesian framework