Neural Conditional Probability for Inference.
Vladimir R. KosticKarim LouniciGrégoire PacreauPietro NovelliGiacomo TurriMassimiliano PontilPublished in: CoRR (2024)
Keyphrases
- conditional probabilities
- probabilistic inference
- bayesian networks
- belief networks
- bayesian model
- probabilistic model
- probability distribution
- network architecture
- random variables
- joint distribution
- posterior probability
- network parameters
- inference rules
- bayesian belief networks
- independence assumption
- neural network
- prior probabilities
- joint probability
- discrete random variables
- approximate inference
- class labels
- image processing
- graphical models
- e learning
- machine learning
- conditional independence
- belief propagation
- inference process
- causal independence