SYSTEMS AND METHODS FOR MATRIX OPERATION SELECTOR BASED ON MACHINE LEARNING

SYSTEMS AND METHODS FOR MATRIX OPERATION SELECTOR BASED ON MACHINE LEARNING

Systems and methods for matrix operation selector are disclosed. A selection engine receives a matrix as an input and extracts one or more features from the matrix. A machine learning model selects an action based on the one or more features. The action is for performing a matrix operation based on...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: THORSLEY, David, SUNG, Hsin-Hsuan, HASSOUN, Joseph H
Format: Patent
Sprache:eng ; fre ; ger
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
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Beschreibung
Zusammenfassung:Systems and methods for matrix operation selector are disclosed. A selection engine receives a matrix as an input and extracts one or more features from the matrix. A machine learning model selects an action based on the one or more features. The action is for performing a matrix operation based on the matrix, and is predicted to satisfy a criterion with respect to a reward. The action is applied for the matrix operation, and a reward is computed based on the applying of the action. The machine learning model is retrained based on the reward.