Bayesian and Gaussian Process Neural Networks for Large Vocabulary Continuous Speech Recognition.
Shoukang HuMax W. Y. LamXurong XieShansong LiuJianwei YuXixin WuXunying LiuHelen MengPublished in: ICASSP (2019)
Keyphrases
- gaussian process
- gaussian processes
- neural network
- marginal likelihood
- hyperparameters
- fully bayesian
- expectation propagation
- gaussian process regression
- model selection
- regression model
- bayesian inference
- bayesian framework
- approximate inference
- posterior distribution
- covariance function
- maximum likelihood
- latent variables
- gaussian process models
- semi supervised
- gaussian process classification
- artificial neural networks
- bayesian methods
- posterior probability
- human pose estimation
- cross validation
- bayesian networks
- closed form
- probabilistic model
- sparse approximation
- sparse approximations
- data sets
- random sampling
- upper bound
- feature selection