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Volumn 2084 LNCS, Issue PART 1, 2001, Pages 669-676

Large margin nearest neighbor classifiers

Author keywords

[No Author keywords available]

Indexed keywords

COST FUNCTIONS; ARTIFICIAL INTELLIGENCE;

EID: 78149479105     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45720-8_80     Document Type: Conference Paper
Times cited : (4)

References (12)
  • 1
    • 0032028728 scopus 로고    scopus 로고
    • The sample complexity of pattern classification with neural networks: The size of the weights is more important than the size of the network
    • Barlett, P. L. (1998). The Sample Complexity of Pattern Classification with Neural Networks: The Size of the Weights is More Important than the Size of the Network, IEEE Transaction on Information Theory, 44, 525-536.
    • (1998) IEEE Transaction on Information Theory , vol.44 , pp. 525-536
    • Barlett, P.L.1
  • 3
    • 0034559505 scopus 로고    scopus 로고
    • Adaptive soft k-nearest neighbour classifiers
    • full-length paper
    • Bermejo, S., & Cabestany, J. (2000a). Adaptive soft k-nearest neighbour classifiers. Pattern Recognition, full-length paper, 33, 1999-2005.
    • (2000) Pattern Recognition , vol.33 , pp. 1999-2005
    • Bermejo, S.1    Cabestany, J.2
  • 4
    • 0035306504 scopus 로고    scopus 로고
    • Learning with nearest neighbour classifiers
    • To Appear in
    • Bermejo, S., & Cabestany, J. (2000b). Learning with nearest neighbour classifiers. To Appear in Neural Processing Letters, 13.
    • (2000) Neural Processing Letters , vol.13
    • Bermejo, S.1    Cabestany, J.2
  • 6
    • 0031361611 scopus 로고    scopus 로고
    • Machine learning research: Four current directions
    • Dietterich, T. (1997). Machine Learning Research: Four Current Directions. AI Magazine, 18, 97-136.
    • (1997) AI Magazine , vol.18 , pp. 97-136
    • Dietterich, T.1
  • 7
    • 0003410791 scopus 로고    scopus 로고
    • 2nd Edition, Berlin: Springer-Verlag
    • Kohonen, T. (1996). Self-organizing Maps, 2nd Edition, Berlin: Springer-Verlag.
    • (1996) Self-organizing Maps
    • Kohonen, T.1
  • 8
    • 0031370144 scopus 로고    scopus 로고
    • Lessons in neural network training: Over fitting may be harder than expected
    • Menlo Park, CA: AAAI Press
    • Lawrence, S., Giles, C. L. & Tsoi, A. C. (1997). Lessons in neural network training: overfitting may be harder than expected. Proceedings of AAAI-97, 540-545, Menlo Park, CA: AAAI Press.
    • (1997) Proceedings of AAAI-97 , pp. 540-545
    • Lawrence, S.1    Giles, C.L.2    Tsoi, A.C.3
  • 9
    • 0000696616 scopus 로고
    • Neural networks and methods for classification
    • Series B
    • Ripley, D. (1994). Neural Networks and Methods for Classification, Journal of the Royal Statistical Society, Series B, 56, p. 409-456.
    • (1994) Journal of the Royal Statistical Society , vol.56 , pp. 409-456
    • Ripley, D.1
  • 10
    • 0032280519 scopus 로고    scopus 로고
    • Boosting the margin: A new explanation for the effectiveness of voting methods
    • Schapire, R.E., Freund, Y., Bartlett, P. & Lee, W.S. (1998). Boosting the margin: A new explanation for the effectiveness of voting methods. The Annals of Statistics, 26, 1651-1686.
    • (1998) The Annals of Statistics , vol.26 , pp. 1651-1686
    • Schapire, R.E.1    Freund, Y.2    Bartlett, P.3    Lee, W.S.4
  • 11
    • 4244157268 scopus 로고    scopus 로고
    • Introduction to large margin classifiers
    • Smola, A. et al. (Eds.), Boston, MA: MIT Press
    • Smola, A. et al. (1999). Introduction to Large Margin Classifiers, in Smola, A. et al. (Eds.) Advances in Large Margin Classifiers Boston, MA: MIT Press.
    • (1999) Advances in Large Margin Classifiers
    • Smola, A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.