[1]黄雨婷,徐媛媛,张恒汝,等.三角距离相关性的标签分布学习[J].智能系统学报,2021,16(3):449-458.[doi:10.11992/tis.202001027]
HUANG Yuting,XU Yuanyuan,ZHANG Hengru,et al.Label distribution learning based on triangular distance correlation[J].CAAI Transactions on Intelligent Systems,2021,16(3):449-458.[doi:10.11992/tis.202001027]
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HUANG Yuting,XU Yuanyuan,ZHANG Hengru,et al.Label distribution learning based on triangular distance correlation[J].CAAI Transactions on Intelligent Systems,2021,16(3):449-458.[doi:10.11992/tis.202001027]
三角距离相关性的标签分布学习
《智能系统学报》[ISSN 1673-4785/CN 23-1538/TP] 卷:
16
期数:
2021年第3期
页码:
449-458
栏目:
学术论文—机器感知与模式识别
出版日期:
2021-05-05
- Title:
- Label distribution learning based on triangular distance correlation
- Keywords:
- label distribution learning; label correlation; triangular distance; distance mapping matrix; multi-label learning; maximum entropy model; Kullback-Leibler divergence; L-BFGS method
- 分类号:
- TP391
- 摘要:
- 针对标签相关性的表征问题，提出一种基于三角距离相关性的标签分布学习算法。首先，构建距离映射矩阵，描述标签分布和特征矩阵之间的映射关系。其次，设计新的三角距离，以表征标签之间的相关性。最后，结合标签相关性，设计基于Kullback-Leibler散度的目标函数。在8个数据集上的实验结果表明，与8种主流算法相比，本文提出的算法在6个准确性指标上占优势。
- Abstract:
- Aiming at the representation problem of label correlation, a label distribution learning algorithm based on triangular distance correlation is proposed in this paper. First, a distance-mapping matrix is constructed to describe the mapping relationship between the label distribution and the feature matrix. Then a new triangle distance is designed to characterize the correlation between the labels. Finally, based on the label correlation, the Kullback-Leibler divergence-based objective function is designed. Results on eight datasets show that the proposed algorithm is superior in six evaluation measures in terms of accuracy compared with eight mainstream algorithms.
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LI Hang,WANG Jin,ZHAO Rui.Multi-label hypernetwork ensemble learning based on Spark[J].CAAI Transactions on Intelligent Systems,2017,12():624.[doi:10.11992/tis.201706033]
备注/Memo
收稿日期:2020-01-20。
基金项目:国家自然科学基金项目(61902328)
作者简介:黄雨婷，硕士研究生，主要研究方向为标签分布学习和推荐系统。;徐媛媛，讲师，主要研究方向为信号处理和推荐系统。主持教育部产学合作协同育人项目2项。发表学术论文2篇;张恒汝，教授，主要研究方向为标签分布学习、粒计算、推荐系统和数据挖掘。主持四川省科技厅项目1项，参与省部级科研及教研项目3项。发表学术论文30余篇
通讯作者:张恒汝.E-mail:zhanghrswpu@163.com
更新日期/Last Update:
2021-06-25