Terms related to machine learning · 3.3.13
support vector machine
a machine learning algorithm that places decision boundaries so the margin around them is as wide as possible
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
The clause does not instruct anyone. It settles what support vector machine means so that an instruction written elsewhere can be read the same way by both sides.
What to do in your practice
Write the entry into the glossary the firm actually reads, not a shelf document. Check the two artefacts where the word does most work and note any sentence that stretches the meaning.
Evidence an auditor or regulator asks for
- A controlled vocabulary entry for support vector machine with the citation 3.3.13, 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 support vector machine 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
- support vector machine is used in the model and training record without a written definition, so two teams can mean different things.
- The term appears in a template with no citation, so the reader cannot tell which sense was intended.
What to prepare before the amendment lands
Take the next policy revision and replace the loose use of support vector machine with the entry and its citation. Record the change in the vocabulary change log.
How to test it here
Take one live artefact rather than a template, find the sentence or field where support vector machine 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 support vector machine at the claim level "definition" and stops where the public record stops.
Common questions
- What does support vector machine mean in ISO 22989?
- a machine learning algorithm that places decision boundaries so the margin around them is as wide as possible
- What evidence should we keep for 3.3.13?
- A controlled vocabulary entry for support vector machine with the citation 3.3.13, an owner and a review date. A model record that names the algorithm, the training run and the parameters that changed.
- Is support vector machine a requirement?
- No: support vector machine 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 3.3.13, 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