Systems and methods of generating datasets from heterogeneous sources for machine learning

Systems and methods of generating datasets from heterogeneous sources for machine learning

A computer system is provided that is programmed to select feature sets from a large number of features. Features for a set are selected based on metagradient information returned from a machine learning process that has been performed on an earlier selected feature set. The process can iterate unti...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Morosan, Tudor, Hamilton, Douglas, O'Rourke, Michael, Jeong, Hyunsoo, Lin, Xuyang, Dague, William
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
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Beschreibung
Zusammenfassung:A computer system is provided that is programmed to select feature sets from a large number of features. Features for a set are selected based on metagradient information returned from a machine learning process that has been performed on an earlier selected feature set. The process can iterate until a selected feature set converges or otherwise meets or exceeds a given threshold.