Backward Inference in Probabilistic Regressor Chains with Distributional Constraints.
Ekaterina AntonenkoMichael MechenichRita BeigaiteIndre ZliobaiteJesse ReadPublished in: IDA (2) (2024)
Keyphrases
- bayesian networks
- inference process
- belief networks
- probabilistic networks
- probabilistic inference
- probabilistic reasoning
- forward and backward
- probabilistic model
- constraint satisfaction
- uncertain data
- generative model
- random fields
- constrained optimization
- co occurrence
- bayesian reasoning
- logical inference
- factor graphs
- geometric constraints
- posterior probability
- pairwise
- consistency checking
- knowledge base
- constraint programming