Semi‐supervised multiple empirical kernel learning with pseudo empirical loss and similarity regularization-Reference-Cited by-同舟云学术

Semi‐supervised multiple empirical kernel learning with pseudo empirical loss and similarity regularization

Published:2021-09-29 Issue:2 Volume:37 Page:1674-1696
ISSN:0884-8173
Container-title:International Journal of Intelligent Systems
language:en
Short-container-title:Int J of Intelligent Sys

Author:

Guo Wei¹²^ORCID,Wang Zhe¹²^ORCID,Ma Menghao¹²^ORCID,Chen Lilong²^ORCID,Yang Hai²^ORCID,Li Dongdong²^ORCID,Du Wenli¹^ORCID

Affiliation:

1. Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education East China University of Science and Technology Shanghai People's Republic of China

2. Department of Computer Science and Engineering East China University of Science and Technology Shanghai People's Republic of China

Funder

National Natural Science Foundation of China

Science and Technology Commission of Shanghai Municipality

Publisher

Wiley

Subject

Artificial Intelligence,Human-Computer Interaction,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/int.22690

Reference56 articles.

1. CROification: Accurate Kernel Classification with the Efficiency of Sparse Linear SVM

2. LiX RenZ LeiH HuangY SunQ. Multiple kernel clustering with kernel k‐means coupled graph tensor learning. Proc. AAAI Conf. Artif. Intell.2021.

3. Structured sparsity regularized multiple kernel learning for Alzheimer’s disease diagnosis

4. Consensus Affinity Graph Learning for Multiple Kernel Clustering

5. Multiple Empirical Kernel Learning with Majority Projection for imbalanced problems

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Fault diagnosis of horizontal centrifugal pump orifice ring wear and blade fracture based on complete ensemble empirical mode decomposition with adaptive noise-singular value decomposition algorithm;Journal of Vibration and Control;2023-12-04

2. Scalable one-stage multi-view subspace clustering with dictionary learning;Knowledge-Based Systems;2023-01

3. Multi-Angle Fast Neural Tangent Kernel Classifier;Applied Sciences;2022-10-26

4. Multi-view dimensionality reduction learning with hierarchical sparse feature selection;Applied Intelligence;2022-10-03

5. Pseudolabel‐guided multiview consensus graph learning for semisupervised classification;International Journal of Intelligent Systems;2022-07-13