framework
active
framework:bycs-bayesian-example-selectionByCS: Bayesian Example Selection
Selection/weighting strategy for ICL demonstrations; in UCCT terms alters context posterior
Neighborhood — ranked by edge-count
Artifacts (1)
artifact
- Main paper presenting UCCT and semantic anchoring framework.
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.
- Choosing among candidate models based on model evidence.
- Analogy between evolution (model selection) and Bayesian model reduction; but evolution is not curious or insightful
- Online inversion of nonlinear dynamic causal models using DEM.
- Source paper for Bayesian model reduction methodology used in structure learning
- Umbrella framework for brain-centric Bayesian approaches; contrasted with active inference
- Methods for bottom-up model space construction; contrasted with top-down BMR approach of this paper
- State estimation that combines prior expectations with likelihood; updates informed by past and future states.