Pipelined parallel contrastive divergence for continuous generative model learning.
Bruno U. PedroniSadique SheikGert CauwenberghsPublished in: ISCAS (2017)
Keyphrases
- generative model
- prior knowledge
- learning algorithm
- learning tasks
- probabilistic model
- parameter learning
- learning process
- semi supervised
- learned models
- hidden variables
- neural network
- hidden markov models
- bayesian framework
- posterior probability
- reinforcement learning
- similarity measure
- feature selection
- contrastive divergence