Methods and systems for classifying database records by introducing time dependency into time-homogeneous probability models
AssigneeCapital One Services, LLC
InventorsHao Hua Huang, Bjorn Kwok
Life of this patent
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AssigneeCapital One Services, LLC
InventorsHao Hua Huang, Bjorn Kwok
Estimating the term…
Methods and systems are described herein for improving data processing efficiency of classifying user files in a database. More particularly, methods and systems are described herein for improving data processing efficiency of classifying user files in a database in which the user files have a temporal element. The methods and system described herein accomplish these improvements by introducing time dependency into time-homogeneous probability models. Once time dependency has been introduced into the time-homogeneous probability models, these models may be used to improve the data processing efficiency of classifying the user files that feature a temporal element.
A system for improving data processing efficiency of classifying user files in a database into disparate states by introducing time dependency into time-homogeneous probability models, the system comprising:
A method of improving data processing efficiency of classifying user files in a database into disparate states by introducing time dependency into time-homogeneous probability models, the method comprising:
A non-transitory, computer-readable media for improving data processing efficiency of classifying user files in a database into disparate states by introducing time dependency into time-homogeneous probability models, comprising instructions that, when executed by one or more processors, cause operations comprising:
Dependencies are inferred from the claim text.