Robot Model Learning with Gaussian Process Mixture Model.
Sooho ParkYu HuangChun Fan GohKenji ShimadaPublished in: CASE (2018)
Keyphrases
- mixture model
- probabilistic model
- gaussian process
- em algorithm
- mixture of gaussians
- bayesian nonparametric
- bayesian framework
- similarity measure
- latent variables
- gaussian processes
- learning algorithm
- prior knowledge
- model selection
- information retrieval
- parameter estimation
- probability density function
- closed form
- data sets
- variational inference
- density estimation
- computer vision
- gaussian mixture model
- feature selection
- unsupervised learning
- maximum likelihood
- learning process