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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 37, 2020 No. 12
3561-3564

Improved unbalanced classification model based on Bayesian learning

Han Zhongminga,b
Liu Dana,b
Duan Dagaoa,b
Yang Weijiea
Zhang Xuna,b
a. School of Computer & Information Engineering, b. Beijing Key Laboratory of Big Data Technology for Food Safety, Beijing Technology & Business University, Beijing 100048, China
DOI: 10.19734/j.issn.1001-3695.2019.08.0520

Abstract

Considering the limitations that accuracy of classification is low when samples are insufficient, this paper proposed an unbalanced Bayesian classification model. This model introduced a class margin likelihood function, which was used to reduce the skewness of the posterior distribution in the parameter space, so that Bayesian learning algorithm could obtain high performance parameters in such posterior. The experimental results in the unbalanced datasets of UCI, KEEL indicate effectiveness of the proposed model. The geometric mean in two unbalanced datasets constructed based on the MINIST dataset reached 92.4% and 81.6%, respectively.

Foundation Support

北京市自然科学基金资助项目(4172016)
北京市教委科技计划一般项目(KM201710011006)
北京市科技计划资助项目(Z161100001616004)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2019.08.0520
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 12
Section: Algorithm Research & Explore
Pages: 3561-3564
Serial Number: 1001-3695(2020)12-007-3561-04

Publish History

[2020-12-05] Printed Article

Cite This Article

韩忠明, 刘聃, 段大高, 等. 改进的不平衡贝叶斯学习分类模型研究 [J]. 计算机应用研究, 2020, 37 (12): 3561-3564. (Han Zhongming, Liu Dan, Duan Dagao, et al. Improved unbalanced classification model based on Bayesian learning [J]. Application Research of Computers, 2020, 37 (12): 3561-3564. )

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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