Feature removal framework to streamline machine learning

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United States of America Patent

PATENT NO 11720808
APP PUB NO 20210374562A1
SERIAL NO

16886316

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Abstract

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The disclosed embodiments provide a system for streamlining machine learning. During operation, the system determines a resource overhead for a baseline version of a machine learning model that uses a set of features to produce entity rankings and a number of features to be removed to lower the resource overhead to a target resource overhead. Next, the system calculates importance scores for the features, wherein each importance score represents an impact of a corresponding feature on the entity rankings. The system then identifies a first subset of the features to be removed as the number of features with lowest importance scores and trains a simplified version of the machine learning model using a second subset of the features that excludes the first subset of the features. Finally, the system executes the simplified version to produce new entity rankings.

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Patent Owner(s)

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MICROSOFT TECHNOLOGY LICENSING LLCONE MICROSOFT WAY REDMOND WA 98052

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Chang, Yen-Jung Santa Clara, US 5 38
Chen, Boyi Santa Clara, US 10 68
Jiang, Yanbin Sunnyvale, US 10 71
Li, Zheng San Jose, US 308 1492
Long, Bo Palo Alto, US 111 1813
Meng, Yunsong Cupertino, US 8 83
Wang, Tie Cupertino, US 24 328
Yang, Yang Fremont, US 1214 8701

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