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实体 Scenario approach for assessing the utility of dispersal information in decision support for aerially spread plant pathogens, applied to Phytophthora infestans.

Scenario approach for assessing the utility of dispersal information in decision support for aerially spread plant pathogens, applied to Phytophthora infestans.

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  1. TOOL · CL_135254 ·

    新的保形预测编程框架解决了机会约束优化问题

    研究人员推出了一种名为保形预测编程（CPP）的新框架，旨在解决机会约束优化问题。CPP 利用随机变量的样本和保形预测的核心概念分位数引理，将这些复杂问题转化为确定性问题。CPP 的一个关键优势在于其独立的校准步骤，即使在标准先验假设不满足或过于保守的情况下，也能提供稳健的、事后保证。该框架还支持各种保形预测技术，包括用于分布偏移的稳健 CPP 和用于类别条件约束的 Mondrian CPP，证明了其在案例研究中的通用性和有效性。