Zobrazeno 1 - 10
of 55
pro vyhledávání: '"Songfeng Zheng"'
Autor:
Shelby Kilmer, Songfeng Zheng
Publikováno v:
AIMS Mathematics, Vol 6, Iss 12, Pp 13480-13487 (2021)
This paper introduces a generalization of the alternating harmonic series, expresses the sum in two closed forms, and examines the relationship between these sums and the harmonic numbers.
Externí odkaz:
https://doaj.org/article/0d56fc61c8974ff0a3bc80d10984f2b8
Autor:
Yue Cui, Songfeng Zheng
Publikováno v:
Journal of Statistical Computation and Simulation. :1-20
Autor:
Fengyan Fang, Wenlong Zhou, Yanfeng Liu, Zhizhong Song, Songfeng Zheng, Fei Wang, Zeyu Lu, Dazhuang Qi, Bei Li, Nan Sun, Xiaoli Tang, Juan Zhang, Renhui Zhan, Limin Wang, Hongxia Zhang
Publikováno v:
Plant Cell Reports. 42:859-877
Publikováno v:
Involve, a Journal of Mathematics. 15:547-558
Autor:
Songfeng Zheng
Publikováno v:
Communications in Statistics - Simulation and Computation. :1-19
Autor:
Songfeng Zheng
Publikováno v:
Journal of the Korean Statistical Society. 51:568-588
Autor:
Songfeng Zheng, Shelby Kilmer
Publikováno v:
AIMS Mathematics, Vol 6, Iss 12, Pp 13480-13487 (2021)
This paper introduces a generalization of the alternating harmonic series, expresses the sum in two closed forms, and examines the relationship between these sums and the harmonic numbers.
Autor:
Songfeng Zheng
Publikováno v:
Journal of Statistical Computation and Simulation. 91:3087-3107
In a support vector regression (SVR) model, using the squared ϵ-insensitive loss function makes the optimization problem strictly convex and yields a more concise solution. However, the formulation...
Autor:
Songfeng Zheng
Publikováno v:
Computational Statistics. 36:283-311
As a generalization to the ordinary least square regression, expectile regression, which can predict conditional expectiles, is fitted by minimizing an asymmetric square loss function on the training data. In literature, the idea of support vector ma
Autor:
Songfeng Zheng
Publikováno v:
Advances in Computational Intelligence. 2