当前位置:
X-MOL 学术
›
J. Am. Stat. Assoc.
›
论文详情
Our official English website, www.x-mol.net, welcomes your
feedback! (Note: you will need to create a separate account there.)
Improving tensor regression by optimal model averaging
Journal of the American Statistical Association ( IF 3.0 ) Pub Date : 2024-09-13 , DOI: 10.1080/01621459.2024.2398164 Qiushi Bu, Hua Liang, Xinyu Zhang, Jiahui Zou
Journal of the American Statistical Association ( IF 3.0 ) Pub Date : 2024-09-13 , DOI: 10.1080/01621459.2024.2398164 Qiushi Bu, Hua Liang, Xinyu Zhang, Jiahui Zou
Tensors have broad applications in neuroimaging, data mining, digital marketing, etc. CANDECOMP/PARAFAC (CP) tensor decomposition can effectively reduce the number of parameters to gain dimensional...
中文翻译:
通过最优模型平均改进张量回归
张量在神经影像、数据挖掘、数字营销等领域有着广泛的应用。CANDECOMP/PARAFAC(CP)张量分解可以有效减少参数数量以获得维度...
更新日期:2024-09-13
中文翻译:
通过最优模型平均改进张量回归
张量在神经影像、数据挖掘、数字营销等领域有着广泛的应用。CANDECOMP/PARAFAC(CP)张量分解可以有效减少参数数量以获得维度...