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US Patent 11853657 Machine-learned model selection network planning

Patent 11853657 was granted and assigned to Kalibrate Technologies on December, 2023 by the United States Patent and Trademark Office.

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Is a
Patent
Patent
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Patent attributes

Patent Applicant
Kalibrate Technologies
Kalibrate Technologies
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Current Assignee
Kalibrate Technologies
Kalibrate Technologies
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
118536570
Patent Inventor Names
Gareth Owen0
Date of Patent
December 26, 2023
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Patent Application Number
162882920
Date Filed
February 28, 2019
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Patent Citations
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US Patent 9697469 Method and system for generating and aggregating models based on disparate data from insurance, financial services, and public industries
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US Patent 7108178 Method of stopping a stolen car without a high-speed chase, utilizing a bar code
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US Patent 8370280 Combining predictive models in predictive analytical modeling
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US Patent 8812417 Hierarchical based sequencing machine learning model
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US Patent 9129219 Crime risk forecasting
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US Patent 9489630 Systems and techniques for predictive data analytics
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Patent Primary Examiner
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Matthew T Sittner
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Patent abstract

Methods and systems for data modelling. One method includes receiving a plurality of data points representing training data, and generating a plurality of models based on the training data, each of the plurality of models using at least one a different modelling methodology or a different portion of the training data. The method also includes receiving an input representing a requested prediction, generating an output based on the input using each of the plurality of models, providing the output generated by each of the plurality of models and the training data to a machine learning algorithm, generating, with the machine learning algorithm, the requested prediction using the output generated by each of the plurality of models and the training data, and outputting the requested prediction for display to a user.

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