System and Method for Using Machine Learning to Generate a Model from Audited Data
First Claim
1. A computer-implemented method comprising:
- receiving input data;
receiving ground truth data from an audit evaluating the input data;
fusing the input data and the ground truth data to create fused data; and
applying machine learning to create a model from the fused data.
2 Assignments
0 Petitions
Accused Products
Abstract
A system and method for using machine learning to generate a model from audited data includes a plurality of data sources, a training server having a machine learning unit, and a prediction/scoring server having a machine learning model and a data repository. The training server is coupled to receive and process information from the plurality of the resources and store it in the data repository. The training server, in particular, the machine learning unit fuses the input data and ground truth data. The machine learning unit applies machine learning to the fused input data and ground truth data to create a model. The machine learning unit then provides the model to the prediction/scoring server for use in processing new data. The prediction/scoring server uses the model to process new data and provide or take actions prescribed by the model.
43 Citations
20 Claims
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1. A computer-implemented method comprising:
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receiving input data; receiving ground truth data from an audit evaluating the input data; fusing the input data and the ground truth data to create fused data; and applying machine learning to create a model from the fused data. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. A system comprising:
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one or more processors; and a memory including instructions that, when executed by the one or more processors, cause the system to; receive input data; receive ground truth data from an audit evaluating the input data; fuse the input data and the ground truth data to create fused data; and apply machine learning to create a model from the fused data. - View Dependent Claims (10, 11, 12, 13, 14, 15, 16)
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17. A computer-program product comprising a non-transitory computer usable medium including a computer readable program, wherein the computer readable program, when executed on a computer, causes the computer to perform operations comprising:
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receiving input data; receiving ground truth data from an audit evaluating the input data; fusing the input data and the ground truth data to create fused data; and applying machine learning to create a model from the fused data. - View Dependent Claims (18, 19, 20)
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Specification