Variational Message Passing Algorithm

Message passing algorithm for approximate Bayesian inference using mean-field factorisation.

Neighborhood — ranked by edge-count

method

Variational Bayes
implements
Mathematical framework for approximating posterior beliefs; converts exact Bayesian inference into optimization.

cosine ≥ 0.65 · no typed edge

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.

Variational Message Passingframework0.921
Algorithm for approximate Bayesian inference based on mean-field approximation.
Message Passingframework0.809
Traditional parallel programming model requiring explicit point-to-point communication; Linda generalizes this via tuple spaces.
variational filteringmethod0.791
Method to obtain time-dependent conditional densities by maximizing variational free energy.
Message-Passing Modelconcept0.777
Traditional parallel programming model where processes send directed messages to each other; contrasted with Linda's generative communication.
Message Passing Inferenceconcept0.774
Algorithmic framework for probabilistic inference in graphical models.
Belief Propagation Algorithmmethod0.739
Message passing algorithm based on Bethe approximation.
Variational Bayesian Inferenceframework0.734
A method for approximate Bayesian inference that optimizes a variational lower bound (ELBO) on log evidence.
Variational Family V for Alignment Mapsconcept0.733
Generalised notion restricting alignment maps to a family V; linearity is special case