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Volumn 22, Issue 4, 2011, Pages 702-706

Incremental support vector machine algorithm based on multi-kernel learning

Author keywords

Incremental learning; Multiple kernel learning (MKL); Support vector machine (SVM)

Indexed keywords

INCREMENTAL LEARNING; INCREMENTAL SUPPORT VECTOR MACHINE; LARGE SCALE DATA; LEARNING PROBLEM; MODEL SELECTION PROBLEM; MULTI-KERNEL; MULTIPLE KERNEL LEARNING; PREDICTION PRECISION; SIMULATION RESULT; SUPPORT VECTOR; TRAINING SUBSETS;

EID: 80051919363     PISSN: 10044132     EISSN: None     Source Type: Journal    
DOI: 10.3969/j.issn.1004-4132.2011.04.021     Document Type: Article
Times cited : (12)

References (13)
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    • Z. Y. Ji, C. L. Li, W. Y. Tang. Application of SVM in recognition of vehicles. Systems Engineering and Electronics, 2010, 32(2): 284-286. (in Chinese)
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    • Ji, Z.Y.1    Li, C.L.2    Tang, W.Y.3
  • 6
    • 17444400956 scopus 로고    scopus 로고
    • An incremental learning strategy for support vector regression
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    • Wang, W.J.1
  • 7
    • 0036161011 scopus 로고    scopus 로고
    • Choosing multiple parameters for support vector machines
    • DOI 10.1023/A:1012450327387
    • O. Chapelle, V. Vapnik, O. Bousqnet, et al. Choosing multiple parameters for support vector machines. Machine Learning, 2002, 46(1): 131-159. (Pubitemid 34129966)
    • (2002) Machine Learning , vol.46 , Issue.1-3 , pp. 131-159
    • Chapelle, O.1    Vapnik, V.2    Bousquet, O.3    Mukherjee, S.4
  • 13
    • 44849132657 scopus 로고    scopus 로고
    • Chaotic time series prediction based on multi-kernel support vector regression
    • J. F. Zhang, S. S. Hu. Chaotic time series prediction based on multi-kernel support vector regression. Acta Physica Sinica, 2008, 57(5): 2708-2713.
    • (2008) Acta Physica Sinica , vol.57 , Issue.5 , pp. 2708-2713
    • Zhang, J.F.1    Hu, S.S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.