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Volumn 2004, Issue 16, 2004, Pages 2515-2521

Modified kernel functions by geodesic distance

Author keywords

Geodesic distance; Kernel function; Support vector machine

Indexed keywords

ALGORITHMS; CLASSIFICATION (OF INFORMATION); PATTERN RECOGNITION; PROBABILITY; PROBLEM SOLVING; VECTORS;

EID: 14544271152     PISSN: 11108657     EISSN: None     Source Type: Journal    
DOI: 10.1155/S111086570440314X     Document Type: Article
Times cited : (10)

References (11)
  • 5
    • 84983750945 scopus 로고
    • A conservation law for generalization performance
    • Morgan Kaufmann, San Mateo, Calif, USA
    • C. Schaffer, "A conservation law for generalization performance," in Proc. 11th International Conference on Machine Learning, pp. 259-265, Morgan Kaufmann, San Mateo, Calif, USA, 1994.
    • (1994) Proc. 11th International Conference on Machine Learning , pp. 259-265
    • Schaffer, C.1
  • 6
    • 0034704229 scopus 로고    scopus 로고
    • A global geometric framework for nonlinear dimensionality reduction
    • J. B. Tenenbaum, V. D. Silva, and J. C. Langford, "A global geometric framework for nonlinear dimensionality reduction," Science, vol. 290, pp. 2319-2323, 2000.
    • (2000) Science , vol.290 , pp. 2319-2323
    • Tenenbaum, J.B.1    Silva, V.D.2    Langford, J.C.3
  • 8
    • 27144489164 scopus 로고    scopus 로고
    • A tutorial on support vector machines
    • C. J. C. Burges, "A tutorial on support vector machines," Data Mining and Knowledge Discovery, vol. 2, no. 2, pp. 121-167, 1998.
    • (1998) Data Mining and Knowledge Discovery , vol.2 , Issue.2 , pp. 121-167
    • Burges, C.J.C.1
  • 10
    • 0000764772 scopus 로고
    • The use of multiple measurements in taxonomic problems
    • R. A. Fisher, "The use of multiple measurements in taxonomic problems," Annals of Eugenics, vol. 7, no. 2, pp. 179-188, 1936.
    • (1936) Annals of Eugenics , vol.7 , Issue.2 , pp. 179-188
    • Fisher, R.A.1
  • 11
    • 0002493574 scopus 로고    scopus 로고
    • Sparse greedy matrix approximation for machine learning
    • Morgan Kaufman, San Francisco, Calif, USA
    • A. J. Smola and B. Schölkopf, "Sparse greedy matrix approximation for machine learning," in Proc. 17th International Conference on Machine Learning, pp. 911-918, Morgan Kaufman, San Francisco, Calif, USA, 2000.
    • (2000) Proc. 17th International Conference on Machine Learning , pp. 911-918
    • Smola, A.J.1    Schölkopf, B.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.