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通过两阶段随机编程和机器学习技术来提高情报源性能管理.

Lucas Wafula Wekesa1, Stephen Korir1

  • 1Strathmore Institute of Mathematical Sciences, Strathmore University, Nairobi, Kenya.

Frontiers in big data
|October 8, 2025
PubMed
概括

本研究介绍了一种使用机器学习和双阶段随机编程来管理人类智能 (HUMINT) 源性能在不确定性中的混合框架. 该方法优化了任务分配,降低了成本,提高了任务成功率.

关键词:
在HUMINT的绩效管理中,行为风险预测行为风险预测.情报表现 情报表现 情报表现情报来源评估 情报来源评估机器学习是机器学习.运营不确定性 运营不确定性随机编程是指随机编程的编程.

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