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Volumn , Issue , 2002, Pages

Adaptive nearest neighbor classification using support vector machines

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION);

EID: 84898941962     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (39)

References (16)
  • 1
    • 0032786569 scopus 로고    scopus 로고
    • Improving support vector machine classifiers by modifying kernel functions
    • S. Amari and S. Wu, "Improving support vector machine classifiers by modifying kernel functions", Neural Networks, 12, pp. 783-789, 1999.
    • (1999) Neural Networks , vol.12 , pp. 783-789
    • Amari, S.1    Wu, S.2
  • 4
    • 84947318637 scopus 로고
    • Locally weighted regression: An approach to regression analysis by local fitting
    • W.S. Cleveland and S.J. Devlin, "Locally Weighted Regression: An Approach to Regression Analysis by Local Fitting", J. Amer. Statist. Assoc. 83, 596-610, 1988.
    • (1988) J. Amer. Statist. Assoc. , vol.83 , pp. 596-610
    • Cleveland, W.S.1    Devlin, S.J.2
  • 6
    • 25344434666 scopus 로고    scopus 로고
    • Adaptive nearest neighbor classification using support vector machines
    • University of California, Riverside, June
    • C. Domeniconi and D. Gunopulos, "Adaptive Nearest Neighbor Classification using Support Vector Machines", Tech. Report UCR-CSE-01-04, Dept. of Computer Science, University of California, Riverside, June 2001.
    • (2001) Tech. Report UCR-CSE-01-04, Dept. of Computer Science
    • Domeniconi, C.1    Gunopulos, D.2
  • 9
    • 0004067283 scopus 로고
    • Flexible metric nearest neighbor classification
    • Stanford University
    • J.H. Friedman "Flexible Metric Nearest Neighbor Classification" , Tech. Report, Dept. of Statistics, Stanford University, 1994.
    • (1994) Tech. Report, Dept. of Statistics
    • Friedman, J.H.1
  • 12
    • 0002714543 scopus 로고    scopus 로고
    • Making large-scale SVM learning practical
    • B. Scholkopf and C. Burger and A. Smola (ed.), MIT- Press
    • T. Joachims, "Making large-scale SVM learning practical" Advances in Kernel Methods - Support Vector Learning, B. Scholkopf and C. Burger and A. Smola (ed.), MIT- Press, 1999. http://www-ai.cs.uni-dortmund.de/ thorsten/svmJight.html.
    • (1999) Advances in Kernel Methods - Support Vector Learning
    • Joachims, T.1
  • 13
    • 0001920729 scopus 로고
    • Similarity metric learning for a variable-kernel classifier
    • D.G. Lowe, "Similarity Metric Learning for a Variable-Kernel Classifier", Neural Computation 7(1):72-85, 1995.
    • (1995) Neural Computation , vol.7 , Issue.1 , pp. 72-85
    • Lowe, D.G.1
  • 16
    • 0000388992 scopus 로고
    • Nonparametric regression and its applications (with discussion)
    • C.J. Stone, Nonparametric regression and its applications (with discussion). Ann. Statist. 5, 595, 1977.
    • (1977) Ann. Statist. , vol.5 , pp. 595
    • Stone, C.J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.