...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Naval Research Logistics >A Confidence Paradigm for Classification Systems
【24h】

A Confidence Paradigm for Classification Systems

机译：分类系统的置信范式

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

There is no universally accepted methodology to determine how much confidence one should place in the output of a classification system. In this article, we develop a confidence paradigm. This is a theoretical framework that attempts to unite the viewpoints of the classification system developer (or engineer) and the classification system user (or warfighter). The developer designs and tests the classification system at a macro-level. The user fields the system in an environment often quite different than the environment used to develop the system. The user operates at a micro-level and is interested in the indications as they are made by the system. The paradigm is based on the assumptions that the system confidence acts like or can be modelled as value, and that indication confidence can be modelled as a function of the posterior probability estimates. The viewpoints of the developer and the user are unified through the fundamental proposition that the expected value of the user's confidence should be approximately equal to the developer's confidence. This paradigm provides a direct link between traditional decision analysis techniques and traditional pattern recognition techniques. This methodology is applied to an automatic target recognition data set, and the results demonstrate the sort of behavior that would be expected from a rational confidence measure.
机译：没有普遍接受的方法来确定一个人应该对分类系统的输出结果有多大的信心。在本文中，我们开发了一种信心范式。这是一个理论框架，试图统一分类系统开发人员（或工程师）和分类系统用户（或作战人员）的观点。开发人员在宏观级别设计和测试分类系统。用户在与开发系统所使用的环境通常完全不同的环境中部署系统。用户在微级别上操作，并且对由系统做出的指示感兴趣。该范例基于以下假设：系统置信度的作用类似于或可以建模为值，指示置信度可以建模为后验概率估计的函数。通过以下基本主张统一了开发人员和用户的观点：用户信心的期望值应近似等于开发人员的信心。这种范例在传统决策分析技术和传统模式识别技术之间提供了直接的联系。将该方法应用于自动目标识别数据集，结果证明了合理的置信度度量所期望的行为。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

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