Robust Approaches(稳健的方法)研究综述
Robust Approaches 稳健的方法 - Genome-wide association studies have revealed a limited contribution of genomic variants to the disease, requiring alternative but robust approaches to identify disease-associated variants and genes. [1] A priori discussions with ethics boards regarding alterations of consent may streamline the process of ethical review and approval of pRCTs, and may ultimately result in more robust approaches to consenting research participants. [2] Some experiments were conducted for different kind of images degraded with impulsive noise and other non-Gaussian distributions, where the segmentation results are very satisfactory comparing them with respect to recent robust approaches based on the fuzzy c-means (FCM) segmentation. [3] However, robust approaches that incorporate the option of flexibility combined with optimization advances are likely to meet threshold performance criteria with the least amount of associated expenses. [4] Robust approaches – being ready for the worst case – lead to a significant loss in travel speed, while probabilistic approaches may have a price in terms of safety. [5] However, for the other two challenge tasks (text zone and handwritten sign detection) research and development of more robust approaches are still required to achieve acceptable results. [6] Discussed and commented on adaptive and robust approaches for dynamic environment FLPs. [7] Contour integral-based (CI) eigenvalue solvers are one of the efficient and robust approaches for sparse eigenvalue problems. [8] QUS provides robust approaches to assessing muscle stiffness associated with post stroke spasticity. [9] Lastly, we note that both approaches are robust approaches to deal with the inflation of citation bias. [10] We demonstrate the far-reaching impacts of MHWs on present-day human-ocean interactions and highlight the urgent need to develop a coherent understanding of the linked social-ecological impacts of MHWs and robust approaches to mitigation and adaptation. [11] We conclude that although robust approaches for detecting certain p-tau species have been established, systematic efforts to validate antibodies for assay development is still needed for the recognition of biomarkers for AD and other neurodegenerative diseases. [12] There is a need for prospective studies using more robust approaches, and for centralization efforts to be accompanied by well-designed evaluations of their effectiveness. [13] Transformed parametric (using log transformation), nonparametric, and robust approaches as described in the Clinical and Laboratory Standards Institute guidelines were adopted to establish the RIs and the 90% confidence interval of the thyroid-stimulating hormone (TSH) using data from the sub-data sets. [14] Based on realistic models and spinning reserve clusters, our solution leverages widely adopted robust approaches in the field, providing optimum cost/risk trade-off without deteriorating the computational burden. [15] In the light of the robust approaches, an adaptive robust uncapacitated lot-sizing model is proposed to deal with an uncertain demand. [16] It is also worth noting that, in contrast to more robust approaches such as Real Options Theory (ROT), traditional Discounted Cash Flow (DCF) methods, such as NPV, assume variables, such as commodity price, to be fixed, which could either lead to the undervaluation or overvaluation of a project. [17] In this paper, we introduce two new robust approaches for attribute selection based on intuitionistic fuzzy rough set theory using the concepts of Different Classes ratio and Laplace Summation operator. [18] The versatility and realistic yield gains associated with seed priming and its connection with stress memory make a critical examination useful for the design of robust approaches for maximizing future yield gains. [19] However, the identification of the reader is extremely limited owing to the rather weak and highly dynamic non-covalent interactions between mRNA modification and reader, and therefore the sensitive and robust approaches are desirable. [20] Mapping highly dynamic cropping systems using satellite image time series is still challenging even when robust approaches are used. [21] An intelligent combination of different metaheuristics is expected to provide more flexible, more efficient and more robust approaches. [22] This paper proposes robust approaches based on state-of-the-art techniques, bidirectional long short-term memory (BiLSTM), fully convolutional network (FCN), and attention mechanism. [23] Inevitably, the residues of polycyclic aromatic hydrocarbons (PAHs) in tea leaves will be transferred to hot tea infusion, constituting a certain drinking risk; consequently, it is imperative to develop rapid, sensitive, and robust approaches for their trace-level detection. [24] Discussed various robust approaches have been employed for the nanoparticle transport through blood in arterial system. [25] Remote-sensing offers promise for overcoming this problem in a cost-effective, tractable way, but requires interdisciplinary expertise to identify robust approaches. [26] This indicates other robust approaches or policies should be taken into consideration, rather than a simple lockdown policy. [27] X-ray analysis is one of the most robust approaches to extract quantitative information from various materials, and is widely used in various fields ever since Raimond Castaing established procedures to analyze electron-induced X-ray signals for materials characterization 70 years ago. [28] Coupled with the new successful developments in artificial intelligence, we are now able to use more robust approaches for automated ULF wave identification and classification. [29] The CVR technique will be considered in deterministic, stochastic and robust approaches, considering the uncertainty of its parameters in the load modeling. [30] In this paper, efforts have been made to build Punjabi Children ASR system under mismatched conditions using noise robust approaches like Mel Frequency Cepstral Coefficient (MFCC) or Gammatone Frequency Cepstral Coefficient (GFCC). [31] More detailed and robust approaches are also needed to monitor treatment enactment. [32] Discussion Robust approaches to study design and analysis are critical to negotiate issues related to the intervention. [33] Empirical analyses based on the US stock market validate the proposed robust approaches and highlight the implications of financial crises for portfolio selection problems. [34] This definition, mainly owing to mix-up of the regression function modeling and the distribution of the random errors, is not justified in many practical problems and thus limits the application of those robust approaches. [35] Our experiments suggest that a linear classifier can achieve near perfect attribution accuracy under closed set assumption yet, the need for more robust approaches becomes evident once a large candidate pool has to be considered in the open-set classification setting. [36] Moreover, bilevel optimization problems and the handling of uncertainties by robust approaches and their relation to set optimization are presented. [37] The aim of this paper is to clarify a connection between such distributionally robust approaches to multistage stochastic optimization. [38] Development of robust approaches for calibrating daily rainfall-runoff models to monthly streamflow data enable modelling platforms that operate at daily time step to be applied in practical situations. [39] First, two robust approaches are considered which are based on a stability radius calculation, to ensure that the stability radius, measured either with the Manhattan or Chebyshev norm, is not below a given threshold. [40] Surface wave methods are non-invasive, low-cost, and robust approaches to image near-surface S-wave velocity (Vs) structure. [41] However, there are currently more robust approaches such as convolutional neural networks, which can deal with complex problems directly from the data without feature selection and even with data that does not have a simple interpretation, being limited by the amount of data necessary for training and its high computational cost. [42] We used complementary and robust approaches for exploring and constraining the driving parameters of nitrate transfer and distribution in groundwater. [43] However, the lack of comprehensive and robust approaches to quantify circular economy makes it challenging to apply quantitative methods and indicators in different contexts and compare the results, with the risk of limiting the practical implementation of circular initiatives due to unknown and/or unclear potential and contribution. [44] This subject is rarely considered by the researchers and hence the proposed robust approaches normally lead to the solutions which include perturbations with low probability of occurrence. [45] The outcomes confirm that the designed framework can generate a more efficient project schedule with a higher rate of protection compared with the existing robust approaches. [46] Moreover, as these associations are dependent on the adiposity indices used, it is crucial that researchers use conceptually and statistically robust approaches such as FM/FFMp. [47] We show that using stochastic dominance to rank simple policy rules yields different rankings than using well-established robust approaches. [48] MVMR-Robust is shown to outperform existing outlier robust approaches when there are low levels of pleiotropy. [49] Moreover the comparative analysis of scenario-based DSEP against the deterministic and robust approaches confirms its superiority in dealing with the uncertainties. [50]全基因组关联研究揭示了基因组变异对疾病的有限贡献，需要替代但稳健的方法来识别与疾病相关的变异和基因。 [1] 与伦理委员会就同意的变更进行先验讨论可能会简化 pRCT 的伦理审查和批准过程，并可能最终导致对研究参与者的同意采取更稳健的方法。 [2] 对因脉冲噪声和其他非高斯分布而退化的不同类型的图像进行了一些实验，与最近基于模糊 c 均值 (FCM) 分割的鲁棒方法相比，分割结果非常令人满意。 [3] 但是，将灵活性选项与优化改进相结合的稳健方法可能会以最少的相关费用满足阈值性能标准。 [4] 稳健的方法——为最坏的情况做好准备——会导致行驶速度的显着损失，而概率方法可能会在安全方面付出代价。 [5] 然而，对于其他两个挑战任务（文本区域和手写符号检测），仍然需要研究和开发更强大的方法才能获得可接受的结果。 [6] 讨论并评论了动态环境 FLP 的自适应和鲁棒方法。 [7] 基于轮廓积分 (CI) 的特征值求解器是解决稀疏特征值问题的有效且稳健的方法之一。 [8] QUS 提供了可靠的方法来评估与卒中后痉挛相关的肌肉僵硬。 [9] 最后，我们注意到这两种方法都是处理引用偏差膨胀的稳健方法。 [10] 我们展示了 MHW 对当今人类与海洋互动的深远影响，并强调迫切需要对 MHW 的相关社会生态影响以及缓解和适应的稳健方法形成一致的理解。 [11] 我们得出的结论是，尽管已经建立了检测某些 p-tau 物种的稳健方法，但仍需要系统地努力验证用于检测开发的抗体，以识别 AD 和其他神经退行性疾病的生物标志物。 [12] 需要使用更稳健的方法进行前瞻性研究，并且需要在集中化努力的同时对其有效性进行精心设计的评估。 [13] 采用临床和实验室标准协会指南中描述的变换参数（使用对数变换）、非参数和稳健方法，使用来自亚组的数据建立 RI 和促甲状腺激素 (TSH) 的 90% 置信区间。数据集。 [14] 我们的解决方案基于现实模型和旋转储备集群，利用该领域广泛采用的稳健方法，在不降低计算负担的情况下提供最佳成本/风险权衡。 [15] 鉴于鲁棒方法，提出了一种自适应鲁棒无容量批量模型来处理不确定的需求。 [16] 还值得注意的是，与实物期权理论 (ROT) 等更稳健的方法相比，传统的贴现现金流 (DCF) 方法（例如 NPV）假设变量（例如商品价格）是固定的，这可以导致项目被低估或高估。 [17] 在本文中，我们介绍了两种基于直觉模糊粗糙集理论的属性选择新鲁棒方法，该方法使用不同类比和拉普拉斯求和算子的概念。 [18] 与种子引发相关的多功能性和实际产量增益及其与压力记忆的联系使得关键检查对于设计用于最大化未来产量增益的稳健方法非常有用。 [19] 然而，由于 mRNA 修饰和阅读器之间的非共价相互作用相当弱且高度动态，阅读器的识别受到极大限制，因此需要灵敏和稳健的方法。 [20] 即使使用稳健的方法，使用卫星图像时间序列映射高度动态的裁剪系统仍然具有挑战性。 [21] 不同元启发式的智能组合有望提供更灵活、更有效和更健壮的方法。 [22] 本文提出了基于最先进技术、双向长短期记忆 (BiLSTM)、全卷积网络 (FCN) 和注意力机制的稳健方法。 [23] 不可避免地，茶叶中的多环芳烃（PAHs）残留物会转移到热茶中，构成一定的饮用风险；因此，必须开发快速、灵敏和稳健的方法来检测它们的痕量水平。 [24] 已经讨论了各种稳健的方法用于纳米颗粒在动脉系统中通过血液的运输。 [25] 遥感为以具有成本效益、易于处理的方式克服这一问题提供了希望，但需要跨学科的专业知识来确定可靠的方法。 [26] 这表明应该考虑其他稳健的方法或策略，而不是简单的锁定策略。 [27] X 射线分析是从各种材料中提取定量信息的最可靠的方法之一，自 70 年前 Raimond Castaing 建立了分析电子诱导 X 射线信号以进行材料表征的程序以来，它就被广泛用于各个领域。 [28] 再加上人工智能新的成功发展，我们现在能够使用更强大的方法进行自动 ULF 波识别和分类。 [29] 考虑到负载建模中参数的不确定性，CVR 技术将在确定性、随机性和鲁棒性方法中进行考虑。 [30] 在本文中，已经努力使用 Mel 频率倒谱系数 (MFCC) 或 Gammatone 频率倒谱系数 (GFCC) 等抗噪方法在不匹配的条件下构建旁遮普儿童 ASR 系统。 [31] 还需要更详细和稳健的方法来监测治疗实施。 [32] 讨论 研究设计和分析的稳健方法对于协商与干预相关的问题至关重要。 [33] 基于美国股票市场的实证分析验证了所提出的稳健方法，并强调了金融危机对投资组合选择问题的影响。 [34] 这个定义主要是由于回归函数建模和随机误差分布的混淆，在许多实际问题中是不合理的，因此限制了这些稳健方法的应用。 [35] 我们的实验表明，线性分类器可以在封闭集假设下实现近乎完美的归因准确性，但一旦在开放集分类设置中必须考虑大型候选池，对更稳健方法的需求就变得很明显。 [36] 此外，还介绍了双层优化问题和通过稳健方法处理不确定性及其与集合优化的关系。 [37] 本文的目的是阐明这种分布稳健的多级随机优化方法之间的联系。 [38] <p>开发用于将每日降雨径流模型校准为每月流量数据的稳健方法，使在每日时间步长上运行的建模平台能够应用于实际情况。 [39] 首先，考虑了两种基于稳定性半径计算的稳健方法，以确保使用曼哈顿范数或切比雪夫范数测量的稳定性半径不低于给定阈值。 [40] 表面波方法是成像近地表 S 波速度 (Vs) 结构的非侵入性、低成本和稳健的方法。 [41] 然而，目前有更强大的方法，例如卷积神经网络，它可以直接从数据中处理复杂问题，无需特征选择，甚至可以处理没有简单解释的数据，受限于训练所需的数据量和其计算成本高。 [42] 我们使用互补和稳健的方法来探索和限制硝酸盐在地下水中转移和分布的驱动参数。 [43] 然而，由于缺乏全面和稳健的循环经济量化方法，因此难以在不同背景下应用量化方法和指标并比较结果，并且由于未知和/或不明确的潜力和/或不确定性，可能会限制循环计划的实际实施。贡献。 [44] 研究人员很少考虑这个主题，因此提出的稳健方法通常会导致解决方案，其中包括低发生概率的扰动。 [45] 结果证实，与现有的稳健方法相比，设计的框架可以生成更有效的项目进度表和更高的保护率。 [46] 此外，由于这些关联取决于所使用的肥胖指数，因此研究人员必须使用概念上和统计上稳健的方法，例如 FM/FFMp。 [47] 我们表明，使用随机优势对简单的策略规则进行排名会产生与使用成熟稳健的方法不同的排名。 [48] 当多效性水平较低时，MVMR-Robust 被证明优于现有的异常稳健方法。 [49] 此外，基于情景的 DSEP 与确定性和稳健性方法的比较分析证实了其在处理不确定性方面的优势。 [50]
Proposed Robust Approaches
Empirical analyses based on the US stock market validate the proposed robust approaches and highlight the implications of financial crises for portfolio selection problems. [1] This subject is rarely considered by the researchers and hence the proposed robust approaches normally lead to the solutions which include perturbations with low probability of occurrence. [2]基于美国股票市场的实证分析验证了所提出的稳健方法，并强调了金融危机对投资组合选择问题的影响。 [1] 研究人员很少考虑这个主题，因此提出的稳健方法通常会导致解决方案，其中包括低发生概率的扰动。 [2]