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SYSTEMS AND METHODS FOR GENERATING HASH TREES AND USING NEURAL NETWORKS TO PROCESS THE SAME

机译:用于生成哈希树的系统和方法,并使用神经网络处理相同的系统

摘要

The present disclosure relates to systems and methods for generating a persona and detecting anomalies using a hash tree. In one implementation, the system may include one or more memories storing instructions and one or more processors configured to execute the instructions. The instructions may include instructions to receive a plurality of data structures related to an individual, convert the data structures into a plurality of Bayesian wavelets, group the Bayesian wavelets into a tree structure, using transitions between the Bayesian wavelets within the tree structure, generate a plurality of Markovian wavelets representing the transitions, replace one or more of the Bayesian wavelets with hashes, and output the tree structure as a persona representing the individual. The instructions may also include training a neural network.
机译:本公开涉及用于使用哈希树生成角色和检测异常的系统和方法。在一个实现中,系统可以包括存储指令的一个或多个存储器和配置为执行指令的一个或多个处理器。指令可以包括接收与个体相关的多个数据结构的指令,将数据结构转换为多个贝叶斯小波,将贝叶斯小波分组为树结构,使用树结构内的贝叶斯小波之间的转换,生成一个表示转换的多个马尔科维亚小波,用散列替换一个或多个贝叶斯小波,并将树结构输出为代表个人的角色。指令还可以包括训练神经网络。

著录项

  • 公开/公告号US2021073652A1

    专利类型

  • 公开/公告日2021-03-11

    原文格式PDF

  • 申请/专利权人 DEEP LABS INC.;

    申请/专利号US202016951849

  • 发明设计人 PATRICK FAITH;SCOTT EDINGTON;

    申请日2020-11-18

  • 分类号G06N5;G06N3/08;G06N7;G06K9/62;G06N3/04;

  • 国家 US

  • 入库时间 2022-08-24 17:38:17

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