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US Patent 8370279 Normalization of predictive model scores

Patent 8370279 was granted and assigned to Google on February, 2013 by the United States Patent and Trademark Office.

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Is a
Patent
Patent

Patent attributes

Current Assignee
Google
Google
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
8370279
Patent Inventor Names
Gang Fu0
Gideon S. Mann0
Robert Kaplow0
Travis H. K. Green0
Wei-Hao Lin0
Date of Patent
February 5, 2013
Patent Application Number
13248474
Date Filed
September 29, 2011
Patent Citations Received
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US Patent 11861728 Technology for building and managing data models
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US Patent 11972363 Predictive model importation
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US Patent 11960575 Data processing for machine learning using a graphical user interface
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US Patent 11699116 System and method for custom security predictive methods
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US Patent 11747776 Adaptive training and deployment of single device and clustered device fault detection models for connected equipment
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US Patent 11859846 Cost savings from fault prediction and diagnosis
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US Patent 11854017 Predictive modeling and analytics integration platform
0
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US Patent 11775619 Technology for building and managing data models
Patent Primary Examiner
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David R Vincent
Patent abstract

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for score normalization. One of the methods includes receiving initial training data, the initial training data comprising initial training records, each initial training record identifying input data as input and a category as output. The method includes generating a first trained predictive model using the initial training data and a training function. The method includes generating intermediate training records by inputting input data of the initial training records to a second trained predictive model, the second trained predictive model generated using the training function, each intermediate training record having a score. The method also includes generating a score normalization model using a score normalization training function and the intermediate training records.

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