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- W2370060362 abstract "Kernel parameter selection directly affects the model's generalization ability.A novel selection method based on particle swarm optimization is proposed in this paper,the method is verified with the Checker dataset,the results demonstrate that the algorithm can improve the overall performance of the SVM classifier." @default.
- W2370060362 created "2016-06-24" @default.
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- W2370060362 date "2007-01-01" @default.
- W2370060362 modified "2023-09-25" @default.
- W2370060362 title "Kernel Parameter Selection of the Support Vector Machine based on Particle Swarm Optimization" @default.
- W2370060362 hasPublicationYear "2007" @default.
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