Algorithm Research & Explore
|
App. Res. of Comp. Printed Article
Vol. 40, 2023 No. 3
760-765

Partial label learning by semantic difference and manifold learning

Zhao Lianga
Xiao Yanshana
Liu Bob
Gu Huimina
a. School of Computers, b. School of Automation, Guangdong University of Technology, Guangzhou 510000, China
DOI: 10.19734/j.issn.1001-3695.2022.07.0371

Abstract

Partial label learning is a weakly supervised learning framework. In partial label learning, each instance is associa-ted with a set of candidate labels, and its ground-truth label is unknown to us during the training process. In order to eliminate the ambiguous of candidate labels, this paper put forward a novel partial label learning by semantic difference and manifold learning(PL-SDML) method, which combined the semantic difference maximization criterion of instances and manifold lear-ning for partial label learning. The PL-SDML method was a two-stage method that used semantic difference maximization criterion of instances and manifold learning to generate the labeling confidence for training instances in the training phase. Then, PL-SDML made predicts for unseen instances via a nearest neighbor voting-based approach in the predict phase. On the UCI datasets, PL-SDML is superior to other comparison algorithms in 70% cases. On the four real-world datasets, the classification performance of PL-SDML improves by 0.3%~13.8% compared with other baselines.

Foundation Support

国家自然科学基金资助项目(62076074)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.07.0371
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 3
Section: Algorithm Research & Explore
Pages: 760-765
Serial Number: 1001-3695(2023)03-018-0760-06

Publish History

[2022-10-17] Accepted Paper
[2023-03-05] Printed Article

Cite This Article

赵亮, 肖燕珊, 刘波, 等. 融合语义差别和流型学习的偏标记学习方法 [J]. 计算机应用研究, 2023, 40 (3): 760-765. (Zhao Liang, Xiao Yanshan, Liu Bo, et al. Partial label learning by semantic difference and manifold learning [J]. Application Research of Computers, 2023, 40 (3): 760-765. )

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.

Indexed & Evaluation

  • The Second National Periodical Award 100 Key Journals
  • Double Effect Journal of China Journal Formation
  • the Core Journal of China (Peking University 2023 Edition)
  • the Core Journal for Science
  • Chinese Science Citation Database (CSCD) Source Journals
  • RCCSE Chinese Core Academic Journals
  • Journal of China Computer Federation
  • 2020-2022 The World Journal Clout Index (WJCI) Report of Scientific and Technological Periodicals
  • Full-text Source Journal of China Science and Technology Periodicals Database
  • Source Journal of China Academic Journals Comprehensive Evaluation Database
  • Source Journals of China Academic Journals (CD-ROM Version), China Journal Network
  • 2017-2019 China Outstanding Academic Journals with International Influence (Natural Science and Engineering Technology)
  • Source Journal of Top Academic Papers (F5000) Program of China's Excellent Science and Technology Journals
  • Source Journal of China Engineering Technology Electronic Information Network and Electronic Technology Literature Database
  • Source Journal of British Science Digest (INSPEC)
  • Japan Science and Technology Agency (JST) Source Journal
  • Russian Journal of Abstracts (AJ, VINITI) Source Journals
  • Full-text Journal of EBSCO, USA
  • Cambridge Scientific Abstracts (Natural Sciences) (CSA(NS)) core journals
  • Poland Copernicus Index (IC)
  • Ulrichsweb (USA)