Invention Grant
- Patent Title: Systems and methods for formatting data using a recurrent neural network
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Application No.: US16810230Application Date: 2020-03-05
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Publication No.: US10853385B1Publication Date: 2020-12-01
- Inventor: Anh Truong , Reza Farivar , Austin Walters , Jeremy Goodsitt
- Applicant: Capital One Services, LLC
- Applicant Address: US VA McLean
- Assignee: CAPITAL ONE SERVICES, LLC
- Current Assignee: CAPITAL ONE SERVICES, LLC
- Current Assignee Address: US VA McLean
- Agency: Finnegan, Henderson, Farabow, Garrett & Dunner, LLP
- Main IPC: G06F16/00
- IPC: G06F16/00 ; G06F16/25 ; G06N3/04 ; G06F16/901 ; G06F17/18

Abstract:
Systems and methods for formatting data are disclosed. For example, a system may include at least one memory storing instructions and one or more processors configured to execute the instructions to perform operations. The operations may include receiving data comprising a plurality of sequences of data values and training a recurrent neural network model to output conditional probabilities of subsequent data values based on preceding data values in the data value sequences. The operations may include generating conditional probabilities using the trained recurrent neural network model and the received data. The operations may include determining a data format of a subset of the data value sequences, based on the generated conditional probabilities, and reformatting at least one of the data value sequences according to the determined data format.
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