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Volumn 207, Issue , 2006, Pages 315-324

Combining SVMs with various feature selection strategies

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EID: 34047138318     PISSN: 14349922     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-540-35488-8_13     Document Type: Article
Times cited : (648)

References (11)
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    • Chu, W.1    Keerthi, S.S.2    Ong, C.J.3
  • 6
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    • Radius margin bounds for support vector machines with the RBF kernel
    • Kai-Min Chung, Wei-Chun Kao, Chia-Liang Sun, Li-Lun Wang, and Chih-Jen Lin. Radius margin bounds for support vector machines with the RBF kernel. Neural Computation, 15:2643-2681, 2003.
    • (2003) Neural Computation , vol.15 , pp. 2643-2681
    • Chung, K.1    Kao, W.2    Sun, C.3    Wang, L.4    Lin, C.5
  • 7
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    • Support-vector network
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    • (1995) Machine Learning , vol.20 , pp. 273-297
    • Cortes, C.1    Vapnik, V.2
  • 8
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    • Yann LeCun, L. Bottou, Y. Bengio, and P. Haffner. Gradient-based learning applied to document recognition. Proceedings of the IEEE, 86(11):2278-2324, November 1998. MNIST database available at http://yann.lecun.com/exdb/mnist/.
    • Yann LeCun, L. Bottou, Y. Bengio, and P. Haffner. Gradient-based learning applied to document recognition. Proceedings of the IEEE, 86(11):2278-2324, November 1998. MNIST database available at http://yann.lecun.com/exdb/mnist/.
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    • Classification and regression by randomForest
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  • 10
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    • Application of Breiman's random forest to modeling structure-activity relationships of pharmaceutical molecules
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    • V. Svetnik, A. Liaw, C. Tong, and T. Wang. Application of Breiman's random forest to modeling structure-activity relationships of pharmaceutical molecules. In F. Roli, J. Kittler, and T. Windeatt, editors, Proceedings of the 5th International Workshopon Multiple Classifier Systems, Lecture Notes in Computer Science vol. 3077., pages 334-343. Springer, 2004.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.