Under Type-Ⅱ progressively hybrid censoring, this paper discusses statistical inference and optimal design on stepstress partially accelerated life test for hybrid system in presence of masked data. It is assumed tha...Under Type-Ⅱ progressively hybrid censoring, this paper discusses statistical inference and optimal design on stepstress partially accelerated life test for hybrid system in presence of masked data. It is assumed that the lifetime of the component in hybrid systems follows independent and identical modified Weibull distributions. The maximum likelihood estimations(MLEs)of the unknown parameters, acceleration factor and reliability indexes are derived by using the Newton-Raphson algorithm. The asymptotic variance-covariance matrix and the approximate confidence intervals are obtained based on normal approximation to the asymptotic distribution of MLEs of model parameters. Moreover,two bootstrap confidence intervals are constructed by using the parametric bootstrap method. The optimal time of changing stress levels is determined under D-optimality and A-optimality criteria.Finally, the Monte Carlo simulation study is carried out to illustrate the proposed procedures.展开更多
文摘【目的】知识表示学习(Knowledge Representation Learning,KRL)在跨语言实体对齐方面取得了显著成就,但未能建模异构知识图谱之间的复杂语义关系,且现有方法多数依赖局部特征匹配以至于未能充分利用知识图谱结构信息。提出了一种基于判别式多特征融合的实体对齐框架(Entity Alignment algorithm based on Discriminant Multi-feature Fusion,EA-DMF)。【方法】利用知识图谱中的语义信息、结构信息以及属性信息进行多特征融合,充分挖掘出图谱中的潜在语义信息。具体而言,EA-DMF引入Gromov-Wasserstein距离度量图谱之间的相似性,建立了随机关系游走算法,利用知识图谱中的长期依赖关系丰富了实体的语义信息,并通过高置信度锚节点的迭代更新,将高置信度的局部对齐信息逐步扩展至全局,最终应用多视角最优传输理论融合多个信息特征进而得到对齐实体对集合。【结果】经过在五个实体对齐数据集上的广泛实验,在没有任何监督或超参数调整的情况下,EA-DMF超越多个竞争基线,证明该方法能够更有效准确地进行知识图谱中未知实体的对齐。
基金supported by the National Natural Science Foundation of China(71401134 71571144+1 种基金 71171164)the Program of International Cooperation and Exchanges in Science and Technology Funded by Shaanxi Province(2016KW-033)
文摘Under Type-Ⅱ progressively hybrid censoring, this paper discusses statistical inference and optimal design on stepstress partially accelerated life test for hybrid system in presence of masked data. It is assumed that the lifetime of the component in hybrid systems follows independent and identical modified Weibull distributions. The maximum likelihood estimations(MLEs)of the unknown parameters, acceleration factor and reliability indexes are derived by using the Newton-Raphson algorithm. The asymptotic variance-covariance matrix and the approximate confidence intervals are obtained based on normal approximation to the asymptotic distribution of MLEs of model parameters. Moreover,two bootstrap confidence intervals are constructed by using the parametric bootstrap method. The optimal time of changing stress levels is determined under D-optimality and A-optimality criteria.Finally, the Monte Carlo simulation study is carried out to illustrate the proposed procedures.
