期刊论文详细信息
Advances in Difference Equations
New bounds for soft margin estimator via concavity of Gaussian weighting function
article
Ullah, Hidayat1  Adil Khan, Muhammad1  Pečarić, Josip2 
[1] Department of Mathematics, University of Peshawar;2-RUDN University
关键词: Concave function;    Soft margin estimator;    Gaussian weighting function;    Jensen’s inequality;    Jaccard similarity function;   
DOI  :  10.1186/s13662-020-03103-z
学科分类:航空航天科学
来源: SpringerOpen
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【 摘 要 】

In the present article, we elaborate on the notion to obtain bounds for the soft margin estimator of “Identification of Patient Zero in Static and Temporal Network-Robustness and Limitations”. To achieve these bounds for the soft margin estimator, we utilize the concavity of the Gaussian weighting function and well-known Jensen’s inequality. To acquire some more general bounds for the soft margin estimator, we consider some general functions defined on rectangles. We also use the behavior of the Jaccard similarity function to extract some handsome bounds for the soft margin estimator.

【 授权许可】

CC BY   

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