Paper
28 April 2023 Evaluate the performance of the support vector machines ensemble
Bowen Liu, Yihui Qiu
Author Affiliations +
Proceedings Volume 12610, Third International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022); 126100R (2023) https://doi.org/10.1117/12.2671159
Event: Third International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022), 2022, Wuhan, China
Abstract
Diversity among the members of classifiers is deemed to be a key point in classifier ensemble. However, there doesn’t exist a widely accepted diversity measure and construct. In this paper, we propose a sample and feature double random construction of training sample variability. A support vector machine is used as the base classifier to construct the difference by distinguishing the regularization term C and the kernel function. Based on the negative correlation theory, the base classifier generalization error and disparity judgment functions are proposed, and the base classifier is integrated by ranking according to the judgment functions, which could achieve a higher accuracy rate by the support vector machine ensemble.
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Bowen Liu and Yihui Qiu "Evaluate the performance of the support vector machines ensemble", Proc. SPIE 12610, Third International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022), 126100R (28 April 2023); https://doi.org/10.1117/12.2671159
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KEYWORDS
Support vector machines

Machine learning

Error analysis

Integration

Mathematical optimization

Statistical modeling

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