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AtanK-A New SVM Kernel for Classification

Meng Tian

Meng Tian

School of Mathematics and Statistics, Shandong University of TechnologyChina
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Tian, Meng
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Hongkui Li

Hongkui Li

School of Mathematics and Statistics, Shandong University of TechnologyChina
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Li, Hongkui
  
31 dic 2021
AtanK-A New SVM Kernel for Classification's Cover Image
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Pubblicato online: 31 dic 2021
Pagine: 135 - 146
Ricevuto: 04 set 2020
Accettato: 27 set 2021
DOI: https://doi.org/10.2478/amns.2021.1.00092
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© 2023 Meng Tian et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.

Fig. 1

Trends near the zero for AtanK kernel with different σ values.
Trends near the zero for AtanK kernel with different σ values.

Fig. 2

The trends near and far from the zero for Gauss, ERBF, UKF and AtanK kernels with different σ values.
The trends near and far from the zero for Gauss, ERBF, UKF and AtanK kernels with different σ values.

Fig. 3

Two-dimensional Checkerboard dataset and classification boundaries of 5 sets of kernels on Checkerboard dataset.
Two-dimensional Checkerboard dataset and classification boundaries of 5 sets of kernels on Checkerboard dataset.

Fig. 4

Boundary between domains of positive and negative samples corresponding to Cosexp dataset and the classification boundaries of 5 sets of kernels on Cosexp dataset.
Boundary between domains of positive and negative samples corresponding to Cosexp dataset and the classification boundaries of 5 sets of kernels on Cosexp dataset.

Fig. 5

Result of Friedman’s test of the testing accuracy.
Result of Friedman’s test of the testing accuracy.
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Inglese
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Scienze biologiche, Scienze della vita, altro, Matematica, Matematica applicata, Matematica generale, Fisica, Fisica, altro
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