Dimensionality Reduction as Probabilistic Inference.
Aditya RavuriFrancisco VargasVidhi LalchandNeil D. LawrencePublished in: CoRR (2023)
Keyphrases
- probabilistic inference
- dimensionality reduction
- graphical models
- weighted model counting
- bayesian networks
- principal component analysis
- influence diagrams
- context specific independence
- high dimensional
- approximate inference
- pattern recognition
- feature space
- efficient inference
- conditional probabilities
- data points
- message passing
- feature extraction
- belief networks
- feature selection
- bucket elimination
- elimination algorithm
- probabilistic model
- bayesian belief networks
- variable elimination
- small number
- propositional logic
- search algorithm
- optimal solution