The following pages link to Lifted graphical models: a survey (Q2347709):
Displaying 13 items.
- Exploiting symmetries for scaling loopy belief propagation and relational training (Q374162) (← links)
- Probabilistic (logic) programming concepts (Q894692) (← links)
- Approximate classification with web ontologies through evidential terminological trees and forests (Q1687300) (← links)
- Model-based exception mining for object-relational data (Q1987183) (← links)
- Beyond graph neural networks with lifted relational neural networks (Q2071316) (← links)
- Conditional probability logic, lifted Bayesian networks, and almost sure quantifier elimination (Q2215958) (← links)
- A survey of lifted inference approaches for probabilistic logic programming under the distribution semantics (Q2374532) (← links)
- Fast learning of relational dependency networks (Q2630823) (← links)
- (Q4637032) (← links)
- (Q5857679) (← links)
- Asymptotic elimination of partially continuous aggregation functions in directed graphical models (Q6116192) (← links)
- A Priori Approximation of Symmetries in Dynamic Probabilistic Relational Models (Q6488144) (← links)
- An extended view on lifting Gaussian Bayesian networks (Q6566609) (← links)
