Tree-Structured Gaussian Mixture Models and Their Variational Inference.
Yuta NakaharaPublished in: SMC (2023)
Keyphrases
- variational inference
- mixture model
- gaussian mixture model
- em algorithm
- probabilistic model
- bayesian inference
- density estimation
- generative model
- variational bayes
- exponential family
- latent dirichlet allocation
- expectation maximization
- posterior distribution
- maximum likelihood
- probability density function
- language model
- unsupervised learning
- topic models
- probabilistic graphical models
- gaussian process
- feature vectors
- approximate inference
- support vector
- gaussian distribution
- model selection
- hyperparameters
- parameter estimation
- hidden markov models
- prior knowledge
- feature space
- data mining