Jul 11, 2020 · In this paper, we propose a bi-sparse optimization-based regression (BSOR) model and corresponding algorithm with reconstructed row and column kernel matrices
In this paper, we propose a bi-sparse optimization-based regression (BSOR) model and corresponding algorithm with reconstructed row and column kernel matrices.
A bi-sparse optimization-based regression model and corresponding algorithm with reconstructed row and column kernel matrices in the framework of support ...
Jul 11, 2020 · In this paper, we propose a bi-sparse optimization-based regression (BSOR) model and corresponding algorithm with reconstructed row and column ...
An interpretable regression approach based on bi-sparse optimization. https://doi.org/10.1007/s10489-020-01687-3. Journal: Applied Intelligence, 2020, № 11, p ...
In this paper, a novel bi-sparse optimization-based least squares regression (BSOLSR) method is proposed in the framework of LSSVR.
An interpretable regression approach based on bi-sparse optimization ; 作者：Zhiwang Zhang, Guangxia Gao, Tao Yao, Jing He, Yingjie Tian ; 论文关键词： ...
Under the framework of LSSVR, a least squares regression model based on bi-sparse optimization is proposed to address the problem unable to obtain sparse ...
In this paper, a novel bi-sparse optimization-based least squares regression (BSOLSR) method is proposed in the framework of LSSVR. Based on the new row and ...
A bi-sparse optimization-based regression model and corresponding algorithm with reconstructed row and column kernel matrices in the framework of support ...