메뉴 건너뛰기




Volumn , Issue , 2001, Pages

Using the nyström method to speed up kernel machines

Author keywords

[No Author keywords available]

Indexed keywords

EIGEN DECOMPOSITION; EIGEN-PROBLEMS; GAUSSIAN PROCESSES; GRAM MATRICES; KERNEL MACHINE; M METHOD; NUMERICAL SOLUTION; TRAINING EXAMPLE;

EID: 84899010839     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (1774)

References (11)
  • 4
    • 0002628667 scopus 로고    scopus 로고
    • Regression and classification using Gaussian process priors (with discussion)
    • J. M. Bernardo et al. (Eds.) Oxford University Press
    • Neal, R. M. (1998). Regression and classification using Gaussian process priors (with discussion). In J. M. Bernardo et al. (Eds.), Bayesian statistics 6, 475-501. Oxford University Press.
    • (1998) Bayesian Statistics , vol.6 , pp. 475-501
    • Neal, R.M.1
  • 7
    • 0347243182 scopus 로고    scopus 로고
    • Nonlinear component analysis as a kernel eigenvalue problem
    • Schölkopf, B., Smola, A., & Müller, K.-R. (1998). Nonlinear component analysis as a kernel eigenvalue problem. Neural Computation, 10, 1299-1319.
    • (1998) Neural Computation , vol.10 , pp. 1299-1319
    • Schölkopf, B.1    Smola, A.2    Müller, K.-R.3
  • 10
    • 84899026266 scopus 로고
    • Philadelphia, PA: Society for Industrial and Applied Mathematics. CBMS-NSF Regional Conference series in applied mathematics
    • Wahba, G. (1990). Spline models for observational data. Philadelphia, PA: Society for Industrial and Applied Mathematics. CBMS-NSF Regional Conference series in applied mathematics.
    • (1990) Spline Models for Observational Data
    • Wahba, G.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.