Terms related to machine learning · 3.3.1
Bayesian network
a probabilistic model that computes probabilities with Bayesian inference over a directed acyclic graph
What this term settles
The term looks ordinary until two teams use it differently. The entry removes that room by naming the thing, its inputs and its limits in one sentence.
Who it binds
Nothing here creates an obligation by itself. The obligation arrives when the firm writes Bayesian network into a control, a specification or a purchase order.
What to do in your practice
Add Bayesian network to the vocabulary register and to the onboarding pack. A term that is only in a PDF is not controlled; it is controlled when a new joiner can find it and a reviewer can test it.
Evidence an auditor or regulator asks for
- A controlled vocabulary entry for Bayesian network with the citation 3.3.1, an owner and a review date.An auditor can check that the term is controlled rather than assumed.
- A model record that names the algorithm, the training run and the parameters that changed.Shows Bayesian network in use in the artefact the firm relies on, not only in a glossary.
- A training log with the data version, the criteria and the result.The model record names the vendor product but not the algorithm or the training run, so the term cannot be traced to an artefact.
Common gaps this page catches
- Bayesian network is used in the model and training record without a written definition, so two teams can mean different things.
- A local synonym has grown up beside the entry and the two are now used interchangeably.
What to prepare before the amendment lands
Brief the owners who use Bayesian network most often, then ask each to return one artefact that shows the entry in use. File the artefacts against the register row.
How to test it here
Take one live artefact rather than a template, find the sentence or field where Bayesian network is used, and put this page beside it. Record the answer, the artefact and the date, because that record is the evidence and a glossary entry on its own is only an intention.
What this page does not claim
The page does not reproduce the standard, certify the firm or predict the wording the amendment will use; it states Bayesian network at the claim level "definition" and stops where the public record stops.
Common questions
- What does Bayesian network mean in ISO 22989?
- a probabilistic model that computes probabilities with Bayesian inference over a directed acyclic graph
- What evidence should we keep for 3.3.1?
- A controlled vocabulary entry for Bayesian network with the citation 3.3.1, an owner and a review date. A model record that names the algorithm, the training run and the parameters that changed.
- Is Bayesian network a requirement?
- No: Bayesian network is a definition or clause of a terminology standard, and it becomes binding only when a firm writes it into a policy, a contract or a procedure, or when another standard incorporates it.
Related units
Source. ISO/IEC 22989:2022, Clause 3.3.1, Terms and definitions. Open the ISO public entry. Retrieved 21 October 2026.
https://www.iso.org/obp/ui/en/#iso:std:iso-iec:22989:ed-1:v1:en
ISO catalogue record 88145, the amendment status, stage and dates. Catalogue record 74296, the base standard.
Claim level: definition. The definition is in the public preview. This page states it in our own words and does not reproduce the text.
Last updated: 2026-10-21 · Markdown version · Check your vocabulary