Combination of multiple classifiers using probabilistic method

Heesung Lee, Sungjun Hong, Euntai Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The single neural network shows powerful classification ability. However, even increasing the size and number of hidden layers of the single network does not lead to improvements. In this paper, we propose the efficient multiple classifier combine method. We define the belief to represent the posterior probability of the pattern conditioned on all components of the classifiers. Since the probabilistic approach is the most promising tools in handling the uncertainty, proposed method can aggregate the results from the each neural network component efficiently. Experiments are performed with UCI machine learning repository to show the performance of the proposed algorithm.

Original languageEnglish
Title of host publicationICCAS 2007 - International Conference on Control, Automation and Systems
Pages2230-2233
Number of pages4
DOIs
Publication statusPublished - 2007 Dec 1
EventInternational Conference on Control, Automation and Systems, ICCAS 2007 - Seoul, Korea, Republic of
Duration: 2007 Oct 172007 Oct 20

Publication series

NameICCAS 2007 - International Conference on Control, Automation and Systems

Other

OtherInternational Conference on Control, Automation and Systems, ICCAS 2007
CountryKorea, Republic of
CitySeoul
Period07/10/1707/10/20

Fingerprint

Classifiers
Neural networks
Network components
Learning systems
Experiments
Uncertainty

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

Lee, H., Hong, S., & Kim, E. (2007). Combination of multiple classifiers using probabilistic method. In ICCAS 2007 - International Conference on Control, Automation and Systems (pp. 2230-2233). [4406703] (ICCAS 2007 - International Conference on Control, Automation and Systems). https://doi.org/10.1109/ICCAS.2007.4406703
Lee, Heesung ; Hong, Sungjun ; Kim, Euntai. / Combination of multiple classifiers using probabilistic method. ICCAS 2007 - International Conference on Control, Automation and Systems. 2007. pp. 2230-2233 (ICCAS 2007 - International Conference on Control, Automation and Systems).
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Lee, H, Hong, S & Kim, E 2007, Combination of multiple classifiers using probabilistic method. in ICCAS 2007 - International Conference on Control, Automation and Systems., 4406703, ICCAS 2007 - International Conference on Control, Automation and Systems, pp. 2230-2233, International Conference on Control, Automation and Systems, ICCAS 2007, Seoul, Korea, Republic of, 07/10/17. https://doi.org/10.1109/ICCAS.2007.4406703

Combination of multiple classifiers using probabilistic method. / Lee, Heesung; Hong, Sungjun; Kim, Euntai.

ICCAS 2007 - International Conference on Control, Automation and Systems. 2007. p. 2230-2233 4406703 (ICCAS 2007 - International Conference on Control, Automation and Systems).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Lee H, Hong S, Kim E. Combination of multiple classifiers using probabilistic method. In ICCAS 2007 - International Conference on Control, Automation and Systems. 2007. p. 2230-2233. 4406703. (ICCAS 2007 - International Conference on Control, Automation and Systems). https://doi.org/10.1109/ICCAS.2007.4406703