首页> 外国专利> HIERARCHICAL BASED SEQUENCING MACHINE LEARNING MODEL

HIERARCHICAL BASED SEQUENCING MACHINE LEARNING MODEL

机译:基于层次的排队机学习模型

摘要

A hierarchical based sequencing (HBS) machine learning model. In one example embodiment, a method of employing an HBS machine learning model to predict multiple interdependent output components of an MOD output decision may include determining an order for multiple interdependent output components of an MOD output decision. The method may also include sequentially training a classifier for each component in the selected order to predict the component based on an input and based on any previous predicted component(s).
机译:基于层次的排序(HBS)机器学习模型。在一个示例实施例中,一种采用HBS机器学习模型来预测MOD输出决定的多个相互依赖的输出分量的方法可以包括确定MOD输出决定的多个相互依赖的输出分量的顺序。该方法还可以包括以选择的顺序针对每个组件顺序训练分类器,以基于输入并基于任何先前的预测组件来预测组件。

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