Remaining Useful Life Estimation of Batteries using Dirichlet Process with Variational Bayes Inference.
Milutin PajovicPhilip V. OrlikToshihiro WadaPublished in: IECON (2018)
Keyphrases
- graphical models
- variational bayes
- dirichlet process
- exponential family
- variational inference
- posterior distribution
- markov chain monte carlo
- probabilistic model
- approximate inference
- bayesian inference
- latent variables
- bayesian model
- parameter estimation
- random variables
- mixture model
- exact inference
- free energy
- hyperparameters
- gaussian mixture model
- bayesian framework
- density estimation
- multi task learning
- probability distribution
- sampling algorithm
- topic models
- generative model
- model selection
- posterior probability
- gaussian process
- latent topics
- maximum likelihood
- latent dirichlet allocation
- expectation maximization
- gaussian processes
- least squares
- support vector
- random sampling
- noise level
- prior information
- maximum a posteriori
- closed form
- unsupervised learning