System and Method for Compact Tree Representation for Machine Learning

Raoul Christopher Johnson (Inventor), Omri Moshe Lahav (Inventor), Michael Dymshits (Inventor), David Tolpin (Inventor)

Research output: Patent

Abstract

Aspects of the present disclosure involve systems, methods, devices, and the like for generating compact tree representations applicable to machine learning. In one embodiment, a system is introduced that can retrieve a decision tree structure to generate a compact tree representation model. The compact tree representation model may come in the form of a matrix design to maintain the relationships expressed by the decision tree structure.

Original languageEnglish
Patent numberWO2019071041
IPCG06N 5/ 02 A I
Priority date5/10/17
StatePublished - 11 Apr 2019

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