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Method of operating artificial intelligence machines to improve predictive model training and performance

机译:操作人工智能机的方法,提高预测模型培训和性能

摘要

A method of improving the training and performance of predictive models. A first method of operating an artificial intelligence machine produces predictive model language documents describing improved predictive models that generate better business decisions from raw data record inputs. A second method of operating an artificial intelligence machine including processors for predictive model algorithms produces and outputs better business decisions from raw data record inputs. Both methods enrich the raw data records their processors are fed by deleting data fields with data values that have little benefit in decision making, and that derive and add new data fields from information sources then available that do benefit in the decision making of the artificial intelligence machine through improved accuracies of prediction.
机译:一种提高预测模型的培训和性能的方法。操作人工智能机器的第一方法产生预测模型语言文档,其描述了从原始数据记录输入产生更好的业务决策的改进的预测模型。操作人工智能机的第二种方法包括用于预测模型算法的处理器,从原始数据记录输入产生并输出更好的业务决策。两种方法都丰富了原始数据记录其处理器通过删除具有在决策中没有受益的数据值的数据字段来馈送数据字段,并且从信息源中获得并添加新的数据字段,然后可以在人为智能的决策中获得有益于的信息通过改善预测精度的机器。

著录项

  • 公开/公告号US10984423B2

    专利类型

  • 公开/公告日2021-04-20

    原文格式PDF

  • 申请/专利权人 BRIGHTERION INC.;

    申请/专利号US201916674980

  • 发明设计人 AKLI ADJAOUTE;

    申请日2019-11-05

  • 分类号G06N7/06;G06F9/44;G06Q20/40;G06N20;

  • 国家 US

  • 入库时间 2022-08-24 18:17:07

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