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Updated: May 10, 2025

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从机器学习输出中推导占用率估计的统计方法的比较

Lydia K D Katsis1, Tessa A Rhinehart2, Elizabeth Dorgay3

  • 1School of Geography and Environmental Science, University of Southampton, Southampton, UK. L.K.D.Katsis@soton.ac.uk.

Scientific reports
|April 27, 2025
PubMed
概括

将机器学习与自主记录单元 (ARU) 集成,有助于生物多样性监测. 用分类器引导的倾听与标准占用模型相结合,为估计物种占用率提供了准确有效的方法.

关键词:
声学监控 声学监控 声学监控 声学监控自主记录单元 (ARU) 是一种自主记录单元.生物多样性监测 生物多样性监测假阳性模型的假阳性模型.占用率建模的使用情况.尤卡坦黑叫的子

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