Deep Network Regularization via Bayesian Inference of Synaptic Connectivity.
Harris PartaouridesSotirios P. ChatzisPublished in: PAKDD (1) (2017)
Keyphrases
- bayesian inference
- prior information
- probabilistic model
- hyperparameters
- spiking neural networks
- spiking neurons
- variational inference
- bayesian model
- hierarchical bayesian
- statistical inference
- markov networks
- gibbs sampler
- hidden variables
- network structure
- neural network
- particle filter
- input patterns
- wireless sensor networks
- prior knowledge
- hebbian learning
- weighted model counting
- markov chain monte carlo
- bayesian models
- expectation propagation
- network connectivity
- graphical models
- pairwise
- reinforcement learning