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Data classifier using proximity graphs, edge weights, and propagation labels

机译:使用邻近图,边缘权重和传播标签的数据分类器

摘要

An illustrative data classifier device includes data storage and at least one processor configured to operate as a query engine and a passive classifier that is configured to predict classification labels for data. The processor is configured to determine a relationship between the data and training data with associated training classification labels. The processor is also configured to assign a weighted version of at least one of the training classification labels to at least one member of the data based on the determined relationship. An illustrative method of classifying data includes predicting classification labels for data by determining a relationship between the data and training data with associated training classification labels. A weighted version of at least one of the training classification labels is assigned to at least one member of the data based on the determined relationship.
机译:一种说明性的数据分类器设备包括:数据存储器;至少一个配置为用作查询引擎的处理器;以及被动分类器,其配置为预测数据的分类标签。处理器被配置为确定数据和训练数据以及相关的训练分类标签之间的关系。处理器还被配置为基于所确定的关系将训练分类标签中的至少一个的加权版本分配给数据的至少一个成员。对数据进行分类的说明性方法包括通过确定数据和训练数据与相关训练分类标签之间的关系来预测数据的分类标签。基于所确定的关系,将训练分类标签中的至少一个的加权版本分配给数据的至少一个成员。

著录项

  • 公开/公告号US9269055B2

    专利类型

  • 公开/公告日2016-02-23

    原文格式PDF

  • 申请/专利权人 ALCATEL-LUCENT USA INC.;

    申请/专利号US201313868512

  • 发明设计人 DAN KUSHNIR;

    申请日2013-04-23

  • 分类号G06F15/18;G06N99;

  • 国家 US

  • 入库时间 2022-08-21 14:29:43

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