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实体 Kernel-based learning from both qualitative and quantitative labels: application to prostate cancer diagnosis based on multiparametric MR imaging

Kernel-based learning from both qualitative and quantitative labels: application to prostate cancer diagnosis based on multiparametric MR imaging

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  1. TOOL · CL_348418 ·

    核方法学习解决了解析算子和参数化偏微分方程问题

    研究人员开发了一种用于解析算子的核方法学习技术,特别关注参数化偏微分方程(PDE)。该方法使用向量值再生核希尔伯特空间来推导有限样本保证,表明解析核可以实现指数收敛速率。该理论应用于参数化椭圆PDE的解算子,提供了区分采样和离散化误差的界限,并指导网格和样本尺寸的耦合以获得最佳结果,这些结果随后通过数值得到验证。