首页> 外国专利> METHOD AND DEVICE FOR IDENTIFYING MACHINE LEARNING MODELS FOR DETECTING ENTITIES

METHOD AND DEVICE FOR IDENTIFYING MACHINE LEARNING MODELS FOR DETECTING ENTITIES

机译:用于识别用于检测实体的机器学习模型的方法和装置

摘要

A method and device for identifying machine learning models for detecting entities is disclosed. The method includes identifying a first entity from within data. A machine learning model trained to identify the first entity is absent in a plurality of machine learning models. The method may include extracting a first set of entity attributes associated with the first entity and matching the first set of entity attributes with each of a plurality of second set of entity attributes. The method may further identifying a second entity from the set of second entities based on the matching. Similarity between a second set of entity attributes associated with the second entity and the first set of entity attributes is above a similarity threshold. The method may include retraining a machine learning model associated with the second entity to identify the first entity based on the first set of entity attributes.
机译:公开了一种用于识别用于检测实体的机器学习模型的方法和装置。 该方法包括从数据中识别第一实体。 在多台机器学习模型中不存在培训以识别第一实体的机器学习模型。 该方法可以包括提取与第一实体相关联的第一组实体属性,并将第一组实体属性与多个第二组的每个实体属性中的每一个匹配。 该方法可以基于匹配进一步识别来自所述第二实体集的第二实体。 与第二实体相关联的第二组实体属性与第一组实体属性之间的相似性高于相似性阈值。 该方法可以包括培训与第二实体相关联的机器学习模型,以基于第一组实体属性来识别第一实体。

著录项

相似文献

  • 专利
  • 外文文献
  • 中文文献
获取专利

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号