Boosting prior knowledge in streaming variational Bayes.
Duc Anh NguyenNgo Van LinhNguyen Kim AnhCanh Hao NguyenKhoat ThanPublished in: Neurocomputing (2021)
Keyphrases
- variational bayes
- prior knowledge
- latent variables
- hyperparameters
- bayesian inference
- bayesian framework
- posterior distribution
- prior information
- gaussian mixture model
- data streams
- free energy
- probabilistic model
- bayesian learning
- exponential family
- learning algorithm
- latent dirichlet allocation
- model selection
- gaussian process
- topic models
- log likelihood
- cross validation
- random variables
- hidden variables
- co occurrence
- approximate inference
- feature selection
- machine learning
- generative model
- markov chain monte carlo
- competitive learning
- support vector
- monte carlo