메뉴 건너뛰기




Volumn , Issue , 2005, Pages 107-114

The curse of highly variable functions for local kernel machines

Author keywords

[No Author keywords available]

Indexed keywords

COMPLEX FUNCTIONS; CURSE OF DIMENSIONALITY; DOMAIN KNOWLEDGE; GAUSSIAN KERNELS; KOLMOGOROV COMPLEXITY; LOCAL KERNEL; NON-PARAMETRIC; NONLOCAL; SEMI-SUPERVISED; STATISTICAL LEARNING; TARGET FUNCTIONS; THEORETICAL ARGUMENTS; TRAINING EXAMPLE; TRAINING SETS; VARIABLE FUNCTIONS;

EID: 77954662106     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (188)

References (21)
  • 1
    • 31844443290 scopus 로고    scopus 로고
    • Regularization and semi-supervised learning on large graphs
    • Shawe-Taylor, J. and Singer, Y., editors. Springer
    • Belkin, M., Matveeva, I., and Niyogi, P. (2004). Regularization and semi-supervised learning on large graphs. In Shawe-Taylor, J. and Singer, Y., editors, COLT'2004. Springer.
    • (2004) COLT'2004
    • Belkin, M.1    Matveeva, I.2    Niyogi, P.3
  • 2
    • 84898946656 scopus 로고    scopus 로고
    • Using manifold structure for partially labeled classification
    • Becker, S., Thrun, S., and Obermayer, K., editors, Cambridge, MA. MIT Press
    • Belkin, M. and Niyogi, P. (2003). Using manifold structure for partially labeled classification. In Becker, S., Thrun, S., and Obermayer, K., editors, Advances in Neural Information Processing Systems 15, Cambridge, MA. MIT Press.
    • (2003) Advances in Neural Information Processing Systems , vol.15
    • Belkin, M.1    Niyogi, P.2
  • 6
    • 84898990205 scopus 로고    scopus 로고
    • Charting a manifold
    • Becker, S., Thrun, S., and Obermayer, K., editors. MIT Press
    • Brand, M. (2003). Charting a manifold. In Becker, S., Thrun, S., and Obermayer, K., editors, Advances in Neural Information Processing Systems 15. MIT Press.
    • (2003) Advances in Neural Information Processing Systems , vol.15
    • Brand, M.1
  • 7
    • 34249753618 scopus 로고
    • Support vector networks
    • Cortes, C. and Vapnik, V. (1995). Support vector networks. Machine Learning, 20:273-297.
    • (1995) Machine Learning , vol.20 , pp. 273-297
    • Cortes, C.1    Vapnik, V.2
  • 11
    • 34250122797 scopus 로고
    • Interpolation of scattered data: Distance matrices and conditionally positive definite functions
    • Micchelli, C. A. (1986). Interpolation of scattered data: distance matrices and conditionally positive definite functions. Constructive Approximation, 2:11-22.
    • (1986) Constructive Approximation , vol.2 , pp. 11-22
    • Micchelli, C.A.1
  • 12
    • 0034704222 scopus 로고    scopus 로고
    • Nonlinear dimensionality reduction by locally linear embedding
    • Roweis, S. and Saul, L. (2000). Nonlinear dimensionality reduction by locally linear embedding. Science, 290(5500):2323-2326.
    • (2000) Science , vol.290 , Issue.5500 , pp. 2323-2326
    • Roweis, S.1    Saul, L.2
  • 13
    • 0040081674 scopus 로고    scopus 로고
    • Descartes' rule of signs for radial basis function neural networks
    • Schmitt, M. (2002). Descartes' rule of signs for radial basis function neural networks. Neural Computation, 14(12):2997-3011.
    • (2002) Neural Computation , vol.14 , Issue.12 , pp. 2997-3011
    • Schmitt, M.1
  • 15
    • 0347243182 scopus 로고    scopus 로고
    • Nonlinear component analysis as a kernel eigenvalue problem
    • Schölkopf, B., Smola, A., and 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
  • 17
    • 0034704229 scopus 로고    scopus 로고
    • A global geometric framework for nonlinear dimensionality reduction
    • Tenenbaum, J., de Silva, V., and Langford, J. (2000). A global geometric framework for nonlinear dimensionality reduction. Science, 290(5500):2319-2323.
    • (2000) Science , vol.290 , Issue.5500 , pp. 2319-2323
    • Tenenbaum, J.1    De Silva, V.2    Langford, J.3
  • 19
    • 85072768928 scopus 로고    scopus 로고
    • Gaussian processes for regression
    • Touretzky, D., Mozer, M., and Hasselmo, M., editors. MIT Press, Cambridge, MA
    • Williams, C. and Rasmussen, C. (1996). Gaussian processes for regression. In Touretzky, D., Mozer, M., and Hasselmo, M., editors, Advances in Neural Information Processing Systems 8, pages 514-520. MIT Press, Cambridge, MA.
    • (1996) Advances in Neural Information Processing Systems , vol.8 , pp. 514-520
    • Williams, C.1    Rasmussen, C.2
  • 21
    • 1942484430 scopus 로고    scopus 로고
    • Semi-supervised learning using Gaussian fields and harmonic functions
    • Zhu, X., Ghahramani, Z., and Lafferty, J. (2003). Semi-supervised learning using Gaussian fields and harmonic functions. In ICML'2003.
    • (2003) ICML'2003
    • Zhu, X.1    Ghahramani, Z.2    Lafferty, J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.