Semi-supervised Wrapper Method

ID: D3A-SSWM | Type: Technique | Ontology: d3f:Semi-supervisedWrapperMethod
Unpublished

Description

The principle behind wrapper methods is that we train a model with labeled data and then generate pseudo-labels for the unlabeled data using the trained model iteratively.

Technical Details

Framework MITRE D3FEND
Ontology URI d3f:Semi-supervisedWrapperMethod
Local Identifier Semi-supervisedWrapperMethod
Publication Status Exists in ontology only

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Child Concepts