variational filtering

Method to obtain time-dependent conditional densities by maximizing variational free energy.

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paper

event

Variational filtering and inference (lecture May 30, 2008)
about
Second lecture presenting variational filtering and DEM as a dynamic Bayesian inversion method.

method

dynamic expectation maximisation (DEM)
implements
A variational approach for dynamic Bayesian inversion of nonlinear causal models, named in this paper.

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 Passing Algorithmmethod0.791
Message passing algorithm for approximate Bayesian inference using mean-field factorisation.
Variational Message Passingframework0.771
Algorithm for approximate Bayesian inference based on mean-field approximation.
Variational Ecologyframework0.768
Framework for physics of sentient systems; cited for understanding consciousness across substrates.
Variational Bayesmethod0.767
Mathematical framework for approximating posterior beliefs; converts exact Bayesian inference into optimization.
variationconcept0.764
The subtle differences among repeated elements necessary to avoid mechanical uniformity.
Variational Bayesian Inferenceframework0.758
A method for approximate Bayesian inference that optimizes a variational lower bound (ELBO) on log evidence.
particle filteringmethod0.751
Existing approach for nonlinear state estimation, contrasted with DEM.
configurational variationconcept0.746
The vast variety of shapes and sizes in morphogenetic living forms, impossible under blueprint planning.