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Volumn , Issue , 2006, Pages 1401-1408

Large-Scale Sparsified Manifold Regularization

Author keywords

[No Author keywords available]

Indexed keywords

KERNEL EXPANSION; KERNEL-METHODS; LABELED AND UNLABELED DATA; LAPLACIANS; LARGE-SCALES; MANIFOLD REGULARIZATIONS; REGULARIZATION FRAMEWORK; SEMI-SUPERVISED LEARNING; SEMI-SUPERVISED LEARNING METHODS; STATE-OF-THE-ART PERFORMANCE;

EID: 34547986029     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (21)

References (15)
  • 1
    • 33750729556 scopus 로고    scopus 로고
    • Manifold regularization: A geometric framework for learning from labeled and unlabeled examples
    • M. Belkin, P. Niyogi, and V. Sindhwani. Manifold regularization: A geometric framework for learning from labeled and unlabeled examples. Journal of Machine Learning Research, 7:2399-2434, 2006.
    • (2006) Journal of Machine Learning Research , vol.7 , pp. 2399-2434
    • Belkin, M.1    Niyogi, P.2    Sindhwani, V.3
  • 7
    • 0000249788 scopus 로고    scopus 로고
    • An equivalence between sparse approximation and support vector machines
    • F. Girosi. An equivalence between sparse approximation and support vector machines. Neural Computation, 10(6):1455-1480, 1998.
    • (1998) Neural Computation , vol.10 , Issue.6 , pp. 1455-1480
    • Girosi, F.1
  • 14
    • 33745456231 scopus 로고    scopus 로고
    • Technical Report 1530, Department of Computer Sciences, University of Wisconsin Madison
    • X. Zhu. Semi-supervised learning literature survey. Technical Report 1530, Department of Computer Sciences, University of Wisconsin - Madison, 2005.
    • (2005) Semi-supervised learning literature survey
    • Zhu, X.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.