Constructing Generative Topographic Mapping by Variational Bayes with ARD Hierarchical Prior.
Nobuhiko YamaguchiPublished in: J. Adv. Comput. Intell. Intell. Informatics (2013)
Keyphrases
- variational bayes
- hyperparameters
- bayesian inference
- generative topographic mapping
- latent variables
- free energy
- gaussian mixture model
- maximum a posteriori
- exponential family
- prior information
- bayesian learning
- posterior distribution
- maximum likelihood
- data clustering
- em algorithm
- model selection
- latent dirichlet allocation
- semi supervised
- information retrieval
- image processing
- prior knowledge
- bayesian framework
- low dimensional
- probabilistic model
- markov chain monte carlo
- least squares
- markov random field
- image reconstruction
- density estimation
- dimension reduction
- neural network
- self organizing maps