Preprocessing Methods
4 ConceptsFeature engineering, data augmentation, and tokenization procedures.
Showing 4 of 4
| Concept | Origin | Kind / Branch | Identifier | Evidence / Status |
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Cutout
A training-image augmentation method that removes information from a randomly located square region by replacing that region with zeros in t…
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Curated | Preprocessing Methods |
AIMech:Cutout
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1 claim
1 source
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RAPID support vector data description sampling
aka RAPID, Reducing samples by pruning of inlier densities
A density-based training-subset selection method for support vector data description that prefilters low-density observations and greedily r…
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Curated | Preprocessing Methods |
AIMech:RapidSupportVectorDataDescriptionSampling
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8 claims
5 sources
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SMOTE-NC
The original mixed nominal/continuous extension of SMOTE that synthesizes minority-class training examples by finding minority neighbors wit…
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Curated | Preprocessing Methods |
AIMech:SMOTENC
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6 claims
1 source
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Synthetic Minority Over-sampling Technique
aka SMOTE
A minority-class oversampling method that generates synthetic labeled feature vectors by interpolating between an observed minority example…
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Curated | Preprocessing Methods |
AIMech:SyntheticMinorityOversamplingTechnique
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1 claim
1 source
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