Iterative data-driven inference of nonlinearity measures via successive graph approximation.
Tim MartinFrank AllgöwerPublished in: CDC (2020)
Keyphrases
- data driven
- graph representation
- random walk
- inference process
- graph model
- graph theory
- graph connectivity
- graph grammars
- connected components
- closed form
- probabilistic inference
- bipartite graph
- directed graph
- error bounds
- approximation algorithms
- clique tree
- laplacian matrix
- graph databases
- queueing networks
- approximation error
- generalized belief propagation
- junction tree
- graphical structure
- graph theoretic
- undirected graph
- directed acyclic graph
- link analysis
- weighted graph
- bayesian inference
- graph structure
- structured data