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Volumn , Issue , 2006, Pages 1150-1155

Learning of kernel functions in support vector machines

Author keywords

[No Author keywords available]

Indexed keywords

DATABASE SYSTEMS; PARAMETER ESTIMATION; PROBLEM SOLVING; RISK ANALYSIS;

EID: 40649125595     PISSN: 10987576     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (8)

References (12)
  • 2
    • 0000299922 scopus 로고    scopus 로고
    • A Tutorial on Support Vector Machines for Pattern Recognition
    • C. J. C. Burges, "A Tutorial on Support Vector Machines for Pattern Recognition," Knowledge Discovery and Data Mining, vol. 2, no. 2, pp. 1-43, 1998.
    • (1998) Knowledge Discovery and Data Mining , vol.2 , Issue.2 , pp. 1-43
    • Burges, C.J.C.1
  • 7
    • 4043137356 scopus 로고    scopus 로고
    • A Tutorial On Support Vector Regression
    • A. J. Smola and B. Scholkopf, "A Tutorial On Support Vector Regression," Statistics and Computing , vol. 14, no. 3, pp. 199-222, 2004.
    • (2004) Statistics and Computing , vol.14 , Issue.3 , pp. 199-222
    • Smola, A.J.1    Scholkopf, B.2
  • 8
    • 0038895405 scopus 로고    scopus 로고
    • Training ν-Support Vector Regression: Theory and Algorithms
    • C. C. Chang and C. J. Lin , "Training ν-Support Vector Regression: Theory and Algorithms ," Neural Computation , vol. 14, pp. 1959-1977, 2002.
    • (2002) Neural Computation , vol.14 , pp. 1959-1977
    • Chang, C.C.1    Lin, C.J.2
  • 9
    • 0141794580 scopus 로고    scopus 로고
    • Optimizing Support Vector Regression Hyperparameters Based on Cross-Validation
    • K. Ito, R. Nakano, "Optimizing Support Vector Regression Hyperparameters Based on Cross-Validation," Proc. International Joint Conference on Neural Networks, 2003, pp. 2077-2082.
    • (2003) Proc. International Joint Conference on Neural Networks , pp. 2077-2082
    • Ito, K.1    Nakano, R.2
  • 11
    • 2142643698 scopus 로고    scopus 로고
    • A Support Vector Machine with a Hybrid Kernel and Minimal Vapnik-Chervonenkis Dimension
    • Y. Tan and J. Wang, "A Support Vector Machine with a Hybrid Kernel and Minimal Vapnik-Chervonenkis Dimension," IEEE Transactions on Knowledge and Data Engineering, vol. 16, no. 4, pp. 385-395, 2004.
    • (2004) IEEE Transactions on Knowledge and Data Engineering , vol.16 , Issue.4 , pp. 385-395
    • Tan, Y.1    Wang, J.2
  • 12


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.