Normalization for probabilistic inference with neurons.
Chris EliasmithJames MartensPublished in: Biol. Cybern. (2011)
Keyphrases
- probabilistic inference
- graphical models
- neural network
- bayesian networks
- influence diagrams
- conditional probabilities
- approximate inference
- context specific independence
- probabilistic reasoning
- belief networks
- message passing
- bayesian belief networks
- efficient inference
- weighted model counting
- variable elimination
- bucket elimination
- elimination algorithm
- preprocessing
- bayesian inference
- junction tree
- exact inference
- dynamic programming
- domain knowledge
- feature extraction
- machine learning