Closing the Training/Inference Gap for Deep Attractor Networks.
Cyril CadouxStefan UhlichMarc FerrasYuki MitsufujiPublished in: CoRR (2019)
Keyphrases
- probabilistic networks
- cellular automata
- deep architectures
- fixed point
- belief networks
- probabilistic inference
- belief nets
- inference process
- structured prediction
- complex systems
- training algorithm
- network analysis
- social networks
- network structure
- test set
- bayesian networks
- morphological operators
- training phase
- network design
- online learning
- training set
- recurrent networks
- echo state networks
- knowledge base