The Probabilistic Model and Forecasting of Power Load Based on Variational Bayesian Expectation Maximization and Relevance Vector Machine.
Wengen GaoQigong ChenYuan GeYiQing HuangPublished in: Wirel. Pers. Commun. (2018)
Keyphrases
- expectation maximization
- variational bayesian
- probabilistic model
- relevance vector machine
- em algorithm
- gaussian processes
- support vector machine
- mixture model
- graphical models
- generative model
- latent variables
- unsupervised learning
- hyperparameters
- language model
- gaussian process
- bayesian networks
- bayesian framework
- gaussian mixture model
- support vector regression
- conditional probabilities
- bayesian inference
- conditional random fields
- maximum a posteriori
- parameter estimation
- probability density function
- topic models
- gaussian distribution
- density estimation
- posterior probability
- learning algorithm
- maximum likelihood
- least squares
- knn
- probability distribution
- training set
- feature extraction