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Volumn 3070, Issue , 2004, Pages 592-597

Relevance LVQ versus SVM

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL METHODS; FUNCTIONS; LEARNING ALGORITHMS; RISK MANAGEMENT; SET THEORY; VECTOR QUANTIZATION;

EID: 9444220311     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-24844-6_89     Document Type: Conference Paper
Times cited : (32)

References (15)
  • 1
    • 0038453192 scopus 로고    scopus 로고
    • Rademacher and gaussian complexities: Risk bounds and structural results
    • P.L. Bartlett and S. Mendelson. Rademacher and Gaussian complexities: risk bounds and structural results. Journal of Machine Learning and Research 3:463-482, 2002.
    • (2002) Journal of Machine Learning and Research , vol.3 , pp. 463-482
    • Bartlett, P.L.1    Mendelson, S.2
  • 3
    • 27144489164 scopus 로고    scopus 로고
    • A tutorial on support vector machines for pattern recognition
    • C. Burges. A tutorial on support vector machines for pattern recognition. Knowledge Discovery and Data Mining, 2(2), 1998.
    • (1998) Knowledge Discovery and Data Mining , vol.2 , Issue.2
    • Burges, C.1
  • 5
    • 4444231365 scopus 로고    scopus 로고
    • A survey of kernels for structured data
    • T. Gärtner. A survey of kernels for structured data. SIGKDD Explorations 5(2):49-58, 2003.
    • (2003) SIGKDD Explorations , vol.5 , Issue.2 , pp. 49-58
    • Gärtner, T.1
  • 6
    • 84902138900 scopus 로고    scopus 로고
    • Learning vector quantization for multimodal data
    • J.R. Dorronsoro, editor, Springer
    • B. Hammer, M. Strickert, and T.Villmann. Learning vector quantization for multimodal data. In J.R. Dorronsoro, editor, ICANN'02, pages 370-375. Springer, 2002.
    • (2002) ICANN'02 , pp. 370-375
    • Hammer, B.1    Strickert, M.2    Villmann, T.3
  • 9
    • 0036791938 scopus 로고    scopus 로고
    • Generalized relevance learning vector quantization
    • B. Hammer and T. Villmann. Generalized relevance learning vector quantization. Neural Networks, 15:1059-1068, 2002.
    • (2002) Neural Networks , vol.15 , pp. 1059-1068
    • Hammer, B.1    Villmann, T.2
  • 12
    • 0027632248 scopus 로고
    • 'Neural-gas' networks for vector quantization and its application to time-series prediction
    • T. Martinetz, S.G. Berkovich, and K.J. Schulten. 'Neural-gas' networks for vector quantization and its application to time-series prediction. IEEE Transactions on Neural Networks, 4(4):558-569, 1993.
    • (1993) IEEE Transactions on Neural Networks , vol.4 , Issue.4 , pp. 558-569
    • Martinetz, T.1    Berkovich, S.G.2    Schulten, K.J.3
  • 13
    • 0011921589 scopus 로고    scopus 로고
    • Technical Report MSR-TR-2000-51. Microsoft Research, Redmond, WA
    • B. Schölkopf. The kernel trick for distances. Technical Report MSR-TR-2000-51. Microsoft Research, Redmond, WA, 2000.
    • (2000) The Kernel Trick for Distances
    • Schölkopf, B.1
  • 14
    • 84902191627 scopus 로고    scopus 로고
    • New methods for splice site recognition
    • J. R. Dorronsoro (ed.), Springer
    • S. Sonnenburg, G.Rätsch, A. Jagota, and K.-R. Müller. New methods for splice site recognition. In: J. R. Dorronsoro (ed.), ICANN'2002, pages 329-336, Springer, 2002.
    • (2002) ICANN'2002 , pp. 329-336
    • Sonnenburg, S.1    Rätsch, G.2    Jagota, A.3    Müller, K.-R.4
  • 15
    • 0001024505 scopus 로고
    • On the uniform convergence of relative frequencies of events to their probabilities
    • V. Vapnik and A. Chervonenkis. On the uniform convergence of relative frequencies of events to their probabilities. Theory of Probability and its Applications 16(2):264-280, 1971.
    • (1971) Theory of Probability and Its Applications , vol.16 , Issue.2 , pp. 264-280
    • Vapnik, V.1    Chervonenkis, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.