Deep Network Regularization via Bayesian Inference of Synaptic Connectivity.
Harris PartaouridesSotirios P. ChatzisPublished in: CoRR (2018)
Keyphrases
- bayesian inference
- prior information
- probabilistic model
- hyperparameters
- bayesian model
- variational inference
- variational bayes
- hierarchical bayesian
- wireless sensor networks
- markov networks
- network connectivity
- hidden variables
- gibbs sampler
- particle filter
- neural network
- prior distribution
- spiking neural networks
- data sets
- spiking neurons
- input patterns
- statistical inference
- markov chain monte carlo
- learning rules
- network structure
- generative model
- learning algorithm