Working with different inference algorithms¶
Microsoft Research and .NET Foundation and Contributors. Working with different inference algorithms.
Cited by¶
1 citation across 1 artifact.
Each citation links to the sentence it supports in the citing article.
Domain-specific¶
- Variational Message Passing
- Infer.NET exposes VMP alongside expectation propagation and Gibbs sampling as a distinct inference algorithm
This sourceInfer.NET User Guide. The Infer.NET user guide lists exactly these three selectable inference algorithms - expectation propagation, variational message passing and Gibbs sampling - and compares them in one table on determinism, exactness, convergence and efficiency (a max-product mode is noted separately as experimental).
SupportedVerified against the source
- Infer.NET exposes VMP alongside expectation propagation and Gibbs sampling as a distinct inference algorithm
Verification¶
Does it exist? Not checked yet. This entry carries no identifier to resolve. It was extracted from the citation as written in the article, normalized, and deduplicated against the rest of the registry.
Does it back the claim? Read against the text for 1 of 1 citation: 1 supported. Each verdict is shown under its citation below, with what in the work backs the sentence.
Support is checked per citation rather than per work — the same source can be cited soundly in one article and wrongly in another. Per-citation recording began recently, so a citation with no recorded check is a gap in the record rather than evidence it went unchecked.
See how references were verified.
Registry ID ref:5705ee0a1520 · see in the full table