Supervised Gaussian process latent variable model based on Gaussian mixture model.
Jiayuan ZhangZiqi ZhuJixin ZouPublished in: SPAC (2017)
Keyphrases
- gaussian process
- gaussian mixture model
- latent variables
- probabilistic model
- mixture model
- gaussian processes
- semi supervised
- approximate inference
- expectation maximization
- variational bayes
- gaussian process regression
- prior knowledge
- posterior distribution
- random variables
- maximum likelihood
- em algorithm
- topic models
- latent variable models
- feature vectors
- model selection
- unsupervised learning
- regression model
- probability density function
- gaussian distribution
- gaussian mixture
- information retrieval
- learning algorithm
- supervised learning
- density estimation
- feature selection
- feature space
- generative model
- feature extraction
- hyperparameters
- latent space
- bayesian inference
- low dimensional
- machine learning