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Mapping across domains to extract conceptual knowledge representation from neural systems

机译:跨域映射以从神经系统中提取概念性知识表示

摘要

Described is system for extracting conceptual knowledge representation from neural system. The system extracts a first set of attributes to define a set of objects in a first domain. A first formal concept lattice is constructed comprising the set of objects and the first set of attributes from the first domain. A second set of attributes is extracted to define the set of objects in a second domain. A second formal concept lattice is constructed comprising the set of objects and the second set of attributes from the second domain. The first formal concept lattice is aligned with the second formal concept lattice to link the first set of attributes with the second set of attributes, wherein a combined lattice is generated. The combined lattice is used to relate the first domain to the second domain.
机译:描述了一种用于从神经系统中提取概念性知识表示的系统。该系统提取第一组属性以定义第一域中的一组对象。构造第一形式概念格,其包括对象集合和来自第一域的属性的第一集合。提取第二组属性以定义第二域中的对象组。构造第二形式概念格,其包括对象集合和来自第二域的第二属性集合。第一形式概念格与第二形式概念格对齐以将第一组属性与第二组属性链接,其中生成组合的格。组合的晶格用于将第一域与第二域相关。

著录项

  • 公开/公告号US9646248B1

    专利类型

  • 公开/公告日2017-05-09

    原文格式PDF

  • 申请/专利权人 HRL LABORATORIES LLC;

    申请/专利号US201414489313

  • 发明设计人 JAMES BENVENUTO;RAJAN BHATTACHARYYA;

    申请日2014-09-17

  • 分类号G06F15/18;G06N3/02;G06N5/02;G06N99/00;G06N3/08;

  • 国家 US

  • 入库时间 2022-08-21 13:41:49

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