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Class-Distributed Learning for Multinomial Logistic Regression with High Dimensional Features and a Large Number of Classes
Journal of Computational and Graphical Statistics ( IF 1.4 ) Pub Date : 2024-05-31 , DOI: 10.1080/10618600.2024.2362230 Shuyuan Wu 1 , Jing Zhou 2 , Ke Xu 3 , Hansheng Wang 4
Journal of Computational and Graphical Statistics ( IF 1.4 ) Pub Date : 2024-05-31 , DOI: 10.1080/10618600.2024.2362230 Shuyuan Wu 1 , Jing Zhou 2 , Ke Xu 3 , Hansheng Wang 4
Affiliation
Estimating a high-dimensional multinomial logistic regression model with a larger number of categories is of fundamental importance but it presents two challenges. Computationally, it leads to heav...
中文翻译:
具有高维特征和大量类的多项 Logistic 回归的类分布式学习
估计具有大量类别的高维多项逻辑回归模型至关重要,但它提出了两个挑战。从计算角度来看,它会导致重...
更新日期:2024-05-31
中文翻译:
![](https://scdn.x-mol.com/jcss/images/paperTranslation.png)
具有高维特征和大量类的多项 Logistic 回归的类分布式学习
估计具有大量类别的高维多项逻辑回归模型至关重要,但它提出了两个挑战。从计算角度来看,它会导致重...