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Multi kernel algorithm for online multi-label classification

Tang Chaoyang
Zhai Tingting
Zheng Yixian
College of Information Engineering, Yangzhou University, Yangzhou Jiangsu 225127, China

Abstract

In recent years, researchers have shown that multi-kernel methods outperform single-kernel methods in various domains. However, existing online multi-label classification algorithms mostly adopt single-kernel approaches and rely on offline kernel function selection processes. To address these issues and improve classification performance, this paper proposed an online multi-kernel multi-label classification algorithm (OMKMC) . Specifically, OMKMC models the learning of multi kernel classifiers and their weight coefficients as a non-convex optimization problem, solving this problem using an alternating minimization approach, which derives closed-form update formulas for kernel classifiers and their weight coefficients. Additionally, OMKMC introduces an isolation kernel to handle computational challenges on large-scale data. Experiments on eight public datasets show that OMKMC outperforms several advanced multi-label classification algorithms in various performance metrics, proving its effectiveness.

Foundation Support

国家自然科学基金资助项目(61906165)
江苏省高等学校自然科学研究资助项目(19KJB520064)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2024.04.0125
Publish at: Application Research of Computers Accepted Paper, Vol. 41, 2024 No. 12

Publish History

[2024-09-06] Accepted Paper

Cite This Article

唐朝阳, 翟婷婷, 郑逸先. 面向在线多标签分类的多核算法 [J]. 计算机应用研究, 2024, 41 (12). (2024-09-11). https://doi.org/10.19734/j.issn.1001-3695.2024.04.0125. (Tang Chaoyang, Zhai Tingting, Zheng Yixian. Multi kernel algorithm for online multi-label classification [J]. Application Research of Computers, 2024, 41 (12). (2024-09-11). https://doi.org/10.19734/j.issn.1001-3695.2024.04.0125. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.


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