Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 40, 2023 No. 5
1422-1427

Label proportion learning method combining integrated learning and transfer learning

Luo Xubina
Liu Bob
a. School of Computing, b. School of Automation, Guangdong University of Technology, Guangzhou 510000, China
DOI: 10.19734/j.issn.1001-3695.2022.09.0481

Abstract

LLP is a machine learning method that puts instances into packages. It only provides instance information and label proportional information in packages, but does not provide label information. Aiming at the LLP problem of multiple related tasks, this paper proposed a label proportion integrated learning model based on transfer learning, called AT-LLP for short. The model connected related tasks by constructing shared parameters between tasks, and migrated the knowledge learned in the source task to the target task, so as to improve the learning efficiency of the target task. At the same time, the algorithm introduced the ensemble learning algorithm, which continuously adjusted the weight coefficient of the training set in the multi-iteration learning process of the classifier, so as to further train the weak classifier into a strong classifier. Experiments show that the proposed AT-LLP model has better performance than the existing LLP method.

Foundation Support

国家自然科学基金资助项目(61876044,62076074)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.09.0481
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 5
Section: Algorithm Research & Explore
Pages: 1422-1427
Serial Number: 1001-3695(2023)05-021-1422-06

Publish History

[2023-01-13] Accepted Paper
[2023-05-05] Printed Article

Cite This Article

罗旭斌, 刘波. 结合集成学习与迁移学习的标签比例学习方法 [J]. 计算机应用研究, 2023, 40 (5): 1422-1427. (Luo Xubin, Liu Bo. Label proportion learning method combining integrated learning and transfer learning [J]. Application Research of Computers, 2023, 40 (5): 1422-1427. )

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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