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Volumn , Issue , 2005, Pages 17-24

On manifold regularization

Author keywords

[No Author keywords available]

Indexed keywords

EXPERIMENTAL EVIDENCE; GRAPH-BASED; LABELED AND UNLABELED DATA; MARGINAL DISTRIBUTION; NEW FORMS; OUT-OF-SAMPLE EXTENSION; REGULARIZED LEAST SQUARES; REPRESENTER THEOREM; REPRODUCING KERNEL HILBERT SPACES; SEMI-SUPERVISED; SEMI-SUPERVISED ALGORITHM; SPECTRAL CLUSTERING; STANDARD METHOD; THEORETICAL BASIS;

EID: 33745465341     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (236)

References (18)
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  • 2
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    • M. Belkin, P. Niyogi, Laplacian Eigenmaps for Dimensionality Reduction and Data Representation, Neural Computation, June 2003
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  • 3
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  • 4
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    • Manifold regularization: A geometric framework for learning from examples
    • Department of Computer Science, TR-2004-06
    • M. Belkin, P. Niyogi, V. Sindhwani, Manifold Regularization: A Geometric Framework for Learning From Examples, Technical Report, Univ. of Chicago, Department of Computer Science, TR-2004-06. Available at: http://www.cs. uchicago.edu/research/publications/techreports/TR-2004-06
    • Technical Report, Univ. of Chicago
    • Belkin, M.1    Niyogi, P.2    Sindhwani, V.3
  • 5
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    • Learning from labeled and unlabeled data using graph mincuts
    • A. Blum, S. Chawla, Learning from Labeled and Unlabeled Data using Graph Mincuts, ICML 2001.
    • (2001) ICML
    • Blum, A.1    Chawla, S.2
  • 8
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    • Combining labeled and unlabeled data with co-training
    • A. Blum, T. Mitchell, Combining Labeled and Unlabeled Data with Co-Training, COLT 1998
    • (1998) COLT
    • Blum, A.1    Mitchell, T.2
  • 10
    • 32844455952 scopus 로고    scopus 로고
    • Cluster kernels for semi-supervised learning
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    • Chapelle, O.1    Weston, J.2    Schoelkopf, B.3
  • 11
    • 1942483137 scopus 로고    scopus 로고
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  • 12
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    • Kernels and regularization on graphs
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    • Partially labeled classification with Markov random walks
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    • Semi-supervised learning using Gaussian fields and harmonic functions
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.