method
active
method:belief-propagation-algorithmBelief Propagation Algorithm
Message passing algorithm based on Bethe approximation.
Neighborhood — ranked by edge-count
Methods (2)
method
- Belief Propagationrelated_tosame_asInference mechanism underlying active inference; updates posterior beliefs via gradient descent on free energy.
- Variational BayesimplementsMathematical framework for approximating posterior beliefs; converts exact Bayesian inference into optimization.
Related by similarity (8)
cosine ≥ 0.65 · no typed edgeEntities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.
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- Machine learning approach using evolutionary processes to generate and select designs, used to blur the designed vs. evolved distinction
- Recursive inference of hidden states and parameters using free energy minimization.
- Message passing algorithm for approximate Bayesian inference using mean-field factorisation.
- Change in the model's internal belief state as tracked by probes during CoT generation, indicating genuine uncertainty resolution
- Friston et al. concept for collective belief dynamics; relevant for extended cognitive glue.
- Application of Next Closure to enumerate all concept extents of a formal context.