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Volumn 3610, Issue PART I, 2005, Pages 528-535

Support vector based prototype selection method for nearest neighbor rules

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); DECISION THEORY; OPTIMIZATION; RISKS;

EID: 26844514541     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/11539087_68     Document Type: Conference Paper
Times cited : (26)

References (19)
  • 2
    • 0343081513 scopus 로고    scopus 로고
    • Reduction techniques for instance-based learning algorithm
    • Wilson, D.R., Martinez, T.R.: Reduction Techniques for Instance-based Learning Algorithm. Machine Learning. Vol. 38, 3(2000) 257-286
    • (2000) Machine Learning , vol.38 , Issue.3 , pp. 257-286
    • Wilson, D.R.1    Martinez, T.R.2
  • 3
    • 12144277738 scopus 로고    scopus 로고
    • Proximity graphs for nearest neighbor decision rules: Recent progress
    • 34th Symposium on Computing and Statistics, Ritz-Carlton Hotel, Montreal, Canada
    • Toussaint, G.: Proximity Graphs for Nearest Neighbor Decision Rules: Recent Progress. Proceedings of INTERFACE-2002, 34th Symposium on Computing and Statistics, Ritz-Carlton Hotel, Montreal, Canada. (2002) 83-106
    • (2002) Proceedings of INTERFACE-2002 , pp. 83-106
    • Toussaint, G.1
  • 4
    • 0025725905 scopus 로고
    • Instance-based learning algorithms
    • Aha, D.W., Kibler, D., Albert M.K.: Instance-based Learning Algorithms. Machine Learning. Vol. 6, 19(1991) 37-66
    • (1991) Machine Learning , vol.6 , Issue.19 , pp. 37-66
    • Aha, D.W.1    Kibler, D.2    Albert, M.K.3
  • 5
    • 0028385080 scopus 로고
    • Minimal Consistent Set (MCS) identification for optimal nearest neighbor decision systems design
    • Dasarathy, B.V.: Minimal Consistent Set (MCS) Identification for Optimal Nearest Neighbor Decision Systems Design. IEEE transaction on System, Man, and Cybernetics, Vol. 24, 3(1994) 511-517
    • (1994) IEEE Transaction on System, Man, and Cybernetics , vol.24 , Issue.3 , pp. 511-517
    • Dasarathy, B.V.1
  • 6
    • 0031999908 scopus 로고    scopus 로고
    • Nearest prototype classification: Clustering, genetic algorithms, or random search
    • Kuncheva, L.I., Bezdek, J. C.: Nearest Prototype Classification: Clustering, Genetic Algorithms, or Random Search. IEEE transactions on System, Man and Cybernetics, 28(1998) 160-164
    • (1998) IEEE Transactions on System, Man and Cybernetics , vol.28 , pp. 160-164
    • Kuncheva, L.I.1    Bezdek, J.C.2
  • 11
    • 2942746029 scopus 로고    scopus 로고
    • Learning and soft computing, support vector machines
    • The MIT Press, Cambridge, MA
    • Kecman, V.: Learning and Soft Computing, Support Vector machines, Neural Networks and Fuzzy Logic Models. The MIT Press, Cambridge, MA (2001)
    • (2001) Neural Networks and Fuzzy Logic Models
    • Kecman, V.1
  • 14
    • 84898957872 scopus 로고    scopus 로고
    • Improving the accuracy and speed of support vector machines
    • M. Mozer, M. Jordan, and T. Petsche (eds.). MIT Press, Cambridge, MA
    • Burges C. J. C., Schölkopf B.: Improving the Accuracy and Speed of Support Vector Machines. In: M. Mozer, M. Jordan, and T. Petsche (eds.): Neural Information Processing Systems, Vol. 9. MIT Press, Cambridge, MA. (1997)
    • (1997) Neural Information Processing Systems , vol.9
    • Burges, C.J.C.1    Schölkopf, B.2
  • 17
    • 27144489164 scopus 로고    scopus 로고
    • A tutorial on support vector machines for pattern recognition
    • Burges C. J. C.: A Tutorial on Support Vector Machines for Pattern Recognition. Data Mining and Knowledge Discovery. Vol. 2, 2(1998) 121-167
    • (1998) Data Mining and Knowledge Discovery , vol.2 , Issue.2 , pp. 121-167
    • Burges, C.J.C.1
  • 19
    • 0003408496 scopus 로고    scopus 로고
    • Irvine, CA. University of California, Department of Information and Computer Science
    • Blake C., Keogh E., Merz C. J.: UCI Repository of machine learning databases. http://www.ics.uci.edu/~mlearn/MLRepository.html. Irvine, CA. University of California, Department of Information and Computer Science, (1998)
    • (1998) UCI Repository of Machine Learning Databases
    • Blake, C.1    Keogh, E.2    Merz, C.J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.