Gas Distribution Modeling using Sparse Gaussian Process Mixture Models.
Cyrill StachnissChristian PlagemannAchim J. LilienthalWolfram BurgardPublished in: Robotics: Science and Systems (2008)
Keyphrases
- mixture model
- gaussian process
- model selection
- bayesian nonparametric
- mixture of gaussians
- variational inference
- covariance function
- hyperparameters
- gaussian processes
- em algorithm
- sparse approximations
- gaussian process models
- gaussian mixture model
- bayesian framework
- gaussian process regression
- regression model
- probabilistic model
- probability density function
- generative model
- density estimation
- expectation maximization
- exponential family
- latent variables
- cross validation
- approximate inference
- unsupervised learning
- likelihood function
- language model
- maximum likelihood
- semi supervised
- random variables
- gaussian distribution
- sparse representation
- high dimensional
- pairwise
- machine learning
- data mining
- dirichlet process
- training data
- information retrieval