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Volumn 2, Issue , 2009, Pages 930-935

A novel learning model-kernel granular support vector machine

Author keywords

Granules; Kernel granular support vector machine; Kernel space; Support vector machine

Indexed keywords

DATA DISTRIBUTION; DATA SETS; GENERALIZATION PERFORMANCE; GRANULAR SUPPORT VECTOR MACHINES; GRANULES; KERNEL GRANULAR SUPPORT VECTOR MACHINE; KERNEL SPACE; LARGE DATASETS; LEARNING MODELS; MACHINE-LEARNING; SIMULATION RESULT; TRAINING EFFICIENCY;

EID: 70350716755     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICMLC.2009.5212413     Document Type: Conference Paper
Times cited : (19)

References (13)
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    • Suykens, J.1    Vandewa, L.J.2
  • 5
    • 0033640690 scopus 로고    scopus 로고
    • Keerthi S, Shevade S, Bhattcharyya C, et al. A fast iterative nearest point algorithm for support vector machine classifier design. IEEE Trans on Neural Networks, 2000, 11(1): 124~136.
    • Keerthi S, Shevade S, Bhattcharyya C, et al. A fast iterative nearest point algorithm for support vector machine classifier design. IEEE Trans on Neural Networks, 2000, 11(1): 124~136.
  • 6
    • 0000897328 scopus 로고    scopus 로고
    • The kernel adatron algorithm: A fast and simple learning procedure for support vector machines
    • Shavlik J. ed, CA: Morgan Kaufmann Publishers
    • Frieb T, Chistianini N and Campbell C. The kernel adatron algorithm: A fast and simple learning procedure for support vector machines. Shavlik J. ed. Proceedings of the The 15th International Conference of Machine Learning. CA: Morgan Kaufmann Publishers, 1998, 188-196.
    • (1998) Proceedings of the The 15th International Conference of Machine Learning , pp. 188-196
    • Frieb, T.1    Chistianini, N.2    Campbell, C.3
  • 7
    • 0002714543 scopus 로고    scopus 로고
    • Make large-scale support vector machine learning practical
    • Cambridge, MA: MIT Press
    • Joachims T. Make large-scale support vector machine learning practical. Advances in kernel methods: support vector machines. Cambridge, MA: MIT Press, 1998. 11: 169-184.
    • (1998) Advances in kernel methods: Support vector machines , vol.11 , pp. 169-184
    • Joachims, T.1
  • 11
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    • A heuristic training in support vector regression
    • Wang W J, Xu Z B, A heuristic training in support vector regression. Neurocompuing. 2004, 61: 259-275.
    • (2004) Neurocompuing , vol.61 , pp. 259-275
    • Wang, W.J.1    Xu, Z.B.2
  • 12
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    • Using class-center vectors to build support vector machines
    • Zhang X G. Using class-center vectors to build support vector machines. In Proceedings of NNSP'99,1999: 3-11
    • (1999) Proceedings of NNSP'99 , pp. 3-11
    • Zhang, X.G.1
  • 13
    • 70350730367 scopus 로고    scopus 로고
    • Granular support vector machines based on granular computing, soft computing and statistical learning
    • Tang Y C. Granular support vector machines based on granular computing, soft computing and statistical learning. Georgia Stage University: College of Arts and Sciences , 2006
    • (2006) Georgia Stage University: College of Arts and Sciences
    • Tang, Y.C.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.