MACHINE-LEARNING MODELS TO LEVERAGE BEHAVIOR-DEPENDENT PROCESSES

MACHINE-LEARNING MODELS TO LEVERAGE BEHAVIOR-DEPENDENT PROCESSES

Provided is a process, including: obtaining a first training dataset of subject-entity records; training a first machine-learning model on the first training dataset; forming virtual subject-entity records by appending members of a set of candidate action sequences to time-series of at least some of...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Prakash, Arun, Klose, Gregory, Kraemer, Andrew, Briancon, Alain, Wegan, Michael, Silberman, Gabriel M, Harper, Lee
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
PHYSICS
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Beschreibung
Zusammenfassung:Provided is a process, including: obtaining a first training dataset of subject-entity records; training a first machine-learning model on the first training dataset; forming virtual subject-entity records by appending members of a set of candidate action sequences to time-series of at least some of the subject-entity records; forming a second training dataset by labeling the virtual subject-entity records with predictions of the first machine-learning model; and training a second machine-learning model on the second training dataset.