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US Patent 10586280 Risk-based machine learning classsifier

Patent 10586280 was granted and assigned to PointPredictive on March, 2020 by the United States Patent and Trademark Office.

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Contents

Patent abstractTimelineTable: Further ResourcesReferences
Is a
Patent
Patent
1

Patent attributes

Patent Applicant
PointPredictive
PointPredictive
1
Current Assignee
PointPredictive
PointPredictive
1
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
1
Patent Number
105862801
Patent Inventor Names
Frank J. McKenna1
Gregory Gancarz1
Michael J. Kennedy1
Timothy J. Grace1
Date of Patent
March 10, 2020
1
Patent Application Number
162613041
Date Filed
January 29, 2019
1
Patent Citations
‌
US Patent 10127234 Proactive optimizations at multi-tier file systems
Patent Citations Received
‌
US Patent 12136030 System and method for adapting a neural network model on a hardware platform
4
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US Patent 12020476 Data synthesis for autonomous control systems
5
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US Patent 12079723 Optimizing neural network structures for embedded systems
6
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US Patent 12086097 Vector computational unit
7
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US Patent 12120141 Security scores
8
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US Patent 12124805 Data ingestion using artificial intelligence and machine learning
9
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US Patent 12131241 Systems and methods for decomposition of differentiable and non-differentiable models
10
‌
US Patent 11487288 Data synthesis for autonomous control systems
...
Patent Primary Examiner
‌
Hal Schnee
1
Patent abstract

The present disclosure relates generally to a risk-based fraud identification and risk analysis system. For example, the system may receive application data from a first borrower user, determine a segment associated with the application data, apply application data to one or more machine learning (ML) models, and receive a score based at least in part upon output of the ML model.

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References

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