多标签随机子空间集合分类1

IF 1.4 2区数学 Q2 STATISTICS & PROBABILITY

Journal of Computational and Graphical Statistics Pub Date : 2024-10-28 DOI:10.1080/10618600.2024.2421248

Fan Bi, Jianan Zhu, Yang Feng

引用次数: 0

摘要

在这项工作中，我们为多标签分类开发了一种新的集合学习框架--多标签随机子空间集合（mRaSE）。给定一个基础分类器（如多项式逻辑回归分类器），然后将该分类器与其他分类器进行组合。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Multi-label Random Subspace Ensemble Classification1

In this work, we develop a new ensemble learning framework, multi-label Random Subspace Ensemble (mRaSE), for multi-label classification. Given a base classifier (e.g., multinomial logistic regress...

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来源期刊

Journal of Computational and Graphical Statistics 数学-统计学与概率论

CiteScore

3.50

自引率

8.30%

发文量

153

审稿时长

>12 weeks

期刊介绍： The Journal of Computational and Graphical Statistics (JCGS) presents the very latest techniques on improving and extending the use of computational and graphical methods in statistics and data analysis. Established in 1992, this journal contains cutting-edge research, data, surveys, and more on numerical graphical displays and methods, and perception. Articles are written for readers who have a strong background in statistics but are not necessarily experts in computing. Published in March, June, September, and December.