Infinite Mixtures of Gaussian Process Experts with Latent Variables and its Application to Terminal Location Estimation from Multiple-Sensor Values.
Ryo HanafusaJiro EbaraTakeshi OkadomePublished in: IntelliSys (3) (2020)
Keyphrases
- latent variables
- gaussian process
- location estimation
- gaussian processes
- probabilistic model
- approximate inference
- topic models
- posterior distribution
- binary features
- random variables
- latent variable models
- prior knowledge
- hidden variables
- variational bayes
- expectation maximization
- variational inference
- gaussian mixture
- latent space
- mixture model
- data analysis
- pairwise
- expectation propagation
- semi supervised
- decision trees