From Bayesian Sparsity to Gated Recurrent Nets.
Hao HeBo XinSatoshi IkehataDavid P. WipfPublished in: NIPS (2017)
Keyphrases
- bayesian networks
- high dimensional
- bayesian decision
- maximum likelihood
- bayesian learning
- recurrent neural networks
- posterior distribution
- decision making
- probabilistic model
- feed forward
- posterior probability
- bayesian inference
- multi unit combinatorial auctions
- database
- data sparsity
- bayesian estimation
- bayesian methods
- sparse representation
- data driven
- medical images
- multi class
- real time