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Volumn 1, Issue , 2003, Pages 400-407

Learning with Idealized Kernels

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SCIENCE; OPTIMIZATION; PARAMETER ESTIMATION; PROBLEM SOLVING; RADIAL BASIS FUNCTION NETWORKS; SYSTEMS ANALYSIS;

EID: 1942516950     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (150)

References (17)
  • 1
    • 0032786569 scopus 로고    scopus 로고
    • Improving support vector machine classifiers by modifying kernel functions
    • Amari, S., & Wu, S. (1999). Improving support vector machine classifiers by modifying kernel functions. Neural Networks, 12, 783-789.
    • (1999) Neural Networks , vol.12 , pp. 783-789
    • Amari, S.1    Wu, S.2
  • 2
    • 0036161011 scopus 로고    scopus 로고
    • Choosing multiple parameters for support vector machines
    • Chapelle, O., Vapnik, V., Bousquet, O., & Mukherjee, S. (2002). Choosing multiple parameters for support vector machines. Machine Learning, 46, 131-159.
    • (2002) Machine Learning , vol.46 , pp. 131-159
    • Chapelle, O.1    Vapnik, V.2    Bousquet, O.3    Mukherjee, S.4
  • 10
    • 0034704222 scopus 로고    scopus 로고
    • Nonlinear dimensional-ity reduction by locally linear embedding
    • Roweis, S., & Saul, L. (2000). Nonlinear dimensional-ity reduction by locally linear embedding. Science, 290, 2323-2326.
    • (2000) Science , vol.290 , pp. 2323-2326
    • Roweis, S.1    Saul, L.2
  • 13
    • 0036163572 scopus 로고    scopus 로고
    • Bayesian methods for support vector machines: Evidence and predictive class probabilities
    • Sollich, P. (2002). Bayesian methods for support vector machines: Evidence and predictive class probabilities. Machine Learning, 46, 21-52.
    • (2002) Machine Learning , vol.46 , pp. 21-52
    • Sollich, P.1
  • 15
    • 0031073477 scopus 로고    scopus 로고
    • A review and empirical evaluation of feature weighting methods for a class of lazy learning algorithms
    • Wettschereck, D., Aha, D., & Mohri, T. (1997). A review and empirical evaluation of feature weighting methods for a class of lazy learning algorithms. Artificial Intelligence Review, 11, 273-314.
    • (1997) Artificial Intelligence Review , vol.11 , pp. 273-314
    • Wettschereck, D.1    Aha, D.2    Mohri, T.3
  • 16
    • 84879571292 scopus 로고    scopus 로고
    • Distance metric learning, with application to clustering with side-information
    • Cambridge, MA: MIT Press
    • Xing, E., Ng, A., Jordan, M., & Russell, S. (2003). Distance metric learning, with application to clustering with side-information. Advances in Neural Information Processing Systems 15. Cambridge, MA: MIT Press.
    • (2003) Advances in Neural Information Processing Systems , vol.15
    • Xing, E.1    Ng, A.2    Jordan, M.3    Russell, S.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.