Term #2,410
Embedding space
Claim Term
Embedding space
Origin matter
A method for screening manuscripts
Reference Case 1
BRT_PAT-2-PROV
Date Added
1/7/26
Created
1/7/26, 7:57 PM
Modified
8/18/26, 4:56 PM
Full Desc
“Embedding space” refers to a numerical, vector-based, or otherwise representational space in which inputs — including words, sentences, documents, features, portions, sections, entities, or the like — are mapped to representations that capture contextual, relational, semantic characteristics and/or the like. An embedding space may be produced by a machine-learning model, mathematical transformation, statistical process, or the like, and may exist in one or more dimensions. Relationships such as distances, angles, clustering patterns, neighborhoods, or the like within the embedding space may be used to support similarity analysis, retrieval, classification, recommendation, model training, or related computational tasks.
Applications using this term
| Matter | Usage | Notes | Actions |
|---|---|---|---|
| BRT-PAT-2-PROV | Defined | — | App terms |