Automatic model maintenance through local nets
AssigneeComputer Associates Think, Inc.
InventorsZhuo Meng, Yoh-Han Pao, Baofu Duan
Life of this patent
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Abstract
A model maintenance method is provided. If accuracy of prediction by a current model through consultation with new data is determined to be below a predetermined threshold, a compound model is formed by supplementing the current model with a local net trained with the new data.
Claims26
A model maintenance method comprising:
- determining that accuracy of prediction by a system model through consultation with new data is below a predetermined threshold;
- and
- forming a compound model by supplementing the system model with a local net trained with the new data.
A computer system, comprising:
- a processor;
- and
- a program storage device readable by the computer system, tangibly embodying a program of instructions executable by the processor to perform a model maintenance method, the method comprising:
- determining that accuracy of prediction by a current model through consultation with new data is below a predetermined threshold;
- and
- forming a compound model by supplementing the current model with a local net trained with the new data.
A program storage device readable by a machine, tangibly embodying a program of instructions executable by the machine to perform a model maintenance method, the method comprising:
- determining that accuracy of prediction by a current model through consultation with new data is below a predetermined threshold;
- and
- forming a compound model by supplementing the current model with a local net trained with the new data.
A computer data signal embodied in a transmission medium which embodies instructions executable by a computer to perform a model maintenance method, comprising:
- a first segment including test code to determine that accuracy of prediction by a current model through consultation with new data is below a predetermined threshold;
- and
- a second segment including maintenance code to form a compound model by supplementing the current model with a local net trained with the new data.
A model maintenance method comprising:
- determining that accuracy of a current model is below a predetermined threshold;
- collecting data for adaptively updating the current model;
- and
- forming a compound model by supplementing the current model with a local net trained with the collected data.
A compound model of a system, comprising:
- a current model;
- and
- at least one local net having an associated valid data space,
- wherein when the compound model is consulted with a data point, the local net is consulted with the data point and a result of consulting the local net is returned, if the data point is within an associated valid data space of the local net, and the current model is consulted with the data point and a result of consulting the current model is returned, if the data point is not within the associated valid data space of the local net.
Dependencies are inferred from the claim text.