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Volumn , Issue , 2010, Pages 17-22

Multivariate class labeling in robust soft LVQ

Author keywords

[No Author keywords available]

Indexed keywords

CLASS LABELS; EXPLICIT COSTS; LEARNING VECTOR QUANTIZATION; NEAREST PROTOTYPE; STOCHASTIC GRADIENT ASCENTS; TRAINING SAMPLE;

EID: 84887104624     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (7)

References (7)
  • 1
    • 0003410791 scopus 로고    scopus 로고
    • Springer, Berlin, Heidelberg, second edition
    • T. Kohonen. Self-Organizing Maps. Springer, Berlin, Heidelberg, second edition, 1997.
    • (1997) Self-Organizing Maps
    • Kohonen, T.1
  • 2
    • 85156210800 scopus 로고    scopus 로고
    • Generalized learning vector quantization
    • In M. C. Mozer D. S. Touretzky and M. E. Hasselmo, editors, Cambridge, MA, USA, MIT Press
    • A. Sato and K. Yamada. Generalized learning vector quantization. In M. C. Mozer D. S. Touretzky and M. E. Hasselmo, editors, Advances in Neural Information Processing Systems 8. Proceedings of the 1995 Conference, pages 423-429, Cambridge, MA, USA, 1996. MIT Press.
    • (1996) Advances In Neural Information Processing Systems 8. Proceedings of the 1995 Conference , pp. 423-429
    • Sato, A.1    Yamada, K.2
  • 3
    • 0038159964 scopus 로고    scopus 로고
    • Soft learning vector quantization
    • Sambu Seo and Klaus Obermayer. Soft learning vector quantization. Neural Computation, 15(7):1589-1604, 2003.
    • (2003) Neural Computation , vol.15 , Issue.7 , pp. 1589-1604
    • Seo, S.1    Obermayer, K.2
  • 4
    • 70449713460 scopus 로고    scopus 로고
    • Distance learning in discriminative vector quantization
    • P. Schneider, M. Biehl, and B. Hammer. Distance learning in discriminative vector quantization. Neural Computation, 21(10):2942-2969, 2009.
    • (2009) Neural Computation , vol.21 , Issue.10 , pp. 2942-2969
    • Schneider, P.1    Biehl, M.2    Hammer, B.3
  • 7
    • 77649231380 scopus 로고    scopus 로고
    • Hyperparameter learning in probabilisitc prototype-based models
    • P. Schneider, M. Biehl, and B. Hammer. Hyperparameter learning in probabilisitc prototype-based models. Neurocomputing, 73(7-9):1117-1124, 2010.
    • (2010) Neurocomputing , vol.73 , Issue.7-9 , pp. 1117-1124
    • Schneider, P.1    Biehl, M.2    Hammer, B.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.