ENHANCED VALUE COMPONENT PREDICTIONS USING CONTEXTUAL MACHINE-LEARNING MODELS

The present disclosure generally relates to systems and methods that intelligently generate reassignment value conditions for reassigning access rights. The systems and methods include executing a trained contextual machine-learning model to generate predictions of value components of the reassignme...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Carnahan, John, Rodrigue, Mathieu
Format:	Patent
Sprache:	eng
Schlagworte:	CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING ELECTRIC COMMUNICATION TECHNIQUE ELECTRIC DIGITAL DATA PROCESSING ELECTRICITY PHYSICS TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Beschreibung
Zusammenfassung:	The present disclosure generally relates to systems and methods that intelligently generate reassignment value conditions for reassigning access rights. The systems and methods include executing a trained contextual machine-learning model to generate predictions of value components of the reassignment value condition, which once satisfied, enables an access-right requestor to have an assigned access right reassigned to the access-right requestor.