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Feature selection for SVM via optimization of kernel polarization with Gaussian ARD kernels.

T. Wang, H. Huang, S. Tian, и J. Xu. Expert Syst. Appl., 37 (9): 6663-6668 (2010)

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Bridging deep and multiple kernel learning: A review.T. Wang, L. Zhang, и W. Hu. Inf. Fusion, (2021)Kernel Learning with Hilbert-Schmidt Independence Criterion.T. Wang, W. Li, и X. He. CCPR (1), том 662 из Communications in Computer and Information Science, стр. 720-730. (2016)Kernel methods for word sense disambiguation.X. Li, S. Qing, H. Zhang, T. Wang, и H. Yang. Artif. Intell. Rev., 46 (1): 41-58 (2016)FS_KPARD: An effective SVM feature selection method.T. Wang. ICNC, стр. 892-895. IEEE, (2010)Sprinkled semantic diffusion kernel for word sense disambiguation.T. Wang, W. Li, F. Liu, и J. Hua. Eng. Appl. Artif. Intell., (2017)Using Exponential Kernel for Word Sense Disambiguation.T. Wang, J. Rao, и D. Zhao. ICANN, том 8131 из Lecture Notes in Computer Science, стр. 545-552. Springer, (2013)Learning Class-Informed Semantic Similarity.T. Wang, и W. Li. ICONIP (3), том 9949 из Lecture Notes in Computer Science, стр. 442-449. (2016)Multiple Kernel Fusion with HSIC Lasso.T. Wang, и F. Liu. PRICAI (1), том 11012 из Lecture Notes in Computer Science, стр. 246-255. Springer, (2018)Discrete subspace structure constrained human motion capture data recovery.W. Hu, X. Zhu, T. Wang, Y. Yi, и G. Yu. Appl. Soft Comput., (2022)On local kernel polarization.T. Wang, S. Tian, и H. Huang. ISKE, стр. 1304-1309. IEEE, (2008)