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Volumn , Issue , 2009, Pages

Escaping the curse of dimensionality with a tree-based regressor

Author keywords

[No Author keywords available]

Indexed keywords

CONVERGENCE RATES; CURSE OF DIMENSIONALITY; INTRINSIC DIMENSIONS; K-D TREE; TREE-BASED;

EID: 84898079484     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (13)

References (17)
  • 1
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    • Local polynomial regression on unknown manifolds
    • UC Berkley
    • P. Bickel and B. Li. Local polynomial regression on unknown manifolds. Tech. Re. Dep. of Stats. UC Berkley, 2006.
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    • Bickel, P.1    Li, B.2
  • 2
    • 0042378381 scopus 로고    scopus 로고
    • Laplacian eigenmaps for dimensionality reduction and data representation
    • M. Belkin and N. Niyogi. Laplacian eigenmaps for dimensionality reduction and data representation. Neural Computation, 15: 1373-1396, 2003.
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    • Belkin, M.1    Niyogi, N.2
  • 5
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    • Random projection trees and low dimensional manifolds
    • S. Dasgupta and Y. Freund. Random projection trees and low dimensional manifolds. STOC, 2008.
    • (2008) STOC
    • Dasgupta, S.1    Freund, Y.2
  • 7
    • 59549084072 scopus 로고    scopus 로고
    • Online manifold regularization: A new learning setting and empirical study
    • A. B. Goldberg, M. Li, and X. Zhu. Online manifold regularization: a new learning setting and empirical study. ECML PKDD, 2008.
    • (2008) ECML PKDD
    • Goldberg, A.B.1    Li, M.2    Zhu, X.3
  • 10
    • 1842434970 scopus 로고    scopus 로고
    • Navigating nets: Simple algorithms for proximity search
    • R. Krauthgamer and J. Lee. Navigating nets: Simple algorithms for proximity search. SODA, 2004.
    • (2004) SODA
    • Krauthgamer, R.1    Lee, J.2
  • 11
    • 85045788563 scopus 로고    scopus 로고
    • Statistical analysis of semi-supervised regression
    • J. Lafferty and L. Wasserman. Statistical analysis of semi-supervised regression. NIPS, 2007.
    • (2007) NIPS
    • Lafferty, J.1    Wasserman, L.2
  • 12
    • 0034704222 scopus 로고    scopus 로고
    • Nonlinear dimensionality reduction by locally linear embedding
    • S. Roweis and L. Saul. Nonlinear dimensionality reduction by locally linear embedding. Science, 290: 2323-2326, 2000.
    • (2000) Science , vol.290 , pp. 2323-2326
    • Roweis, S.1    Saul, L.2
  • 14
    • 0000439527 scopus 로고
    • Optimal rates of convergence for non-parametric estimators
    • C. J. Stone. Optimal rates of convergence for non-parametric estimators. Ann. Statist., 8: 1348-1360, 1980.
    • (1980) Ann. Statist. , vol.8 , pp. 1348-1360
    • Stone, C.J.1
  • 15
    • 0000439527 scopus 로고
    • Optimal global rates of convergence for non-parametric estimators
    • C. J. Stone. Optimal global rates of convergence for non-parametric estimators. Ann. Statist., 10: 1340-1353, 1982.
    • (1982) Ann. Statist. , vol.10 , pp. 1340-1353
    • Stone, C.J.1
  • 16
    • 0034704229 scopus 로고    scopus 로고
    • A global geometric framework for non-linear dimensionality reduction
    • J.B. TenenBaum, V. De Silva, and J. Langford. A global geometric framework for non-linear dimensionality reduction. Science, 290: 2319-2323, 2000.
    • (2000) Science , vol.290 , pp. 2319-2323
    • TenenBaum, J.B.1    De Silva, V.2    Langford, J.3
  • 17
    • 0001024505 scopus 로고
    • On the uniform convergence of relative frequencies of events to their expectation
    • V. Vapnik and A. Chervonenkis. On the uniform convergence of relative frequencies of events to their expectation. Theory of probability and its applications, 16: 264-280, 1971.
    • (1971) Theory of Probability and its Applications , vol.16 , pp. 264-280
    • Vapnik, V.1    Chervonenkis, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.