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Volumn 227, Issue , 2007, Pages 185-192

Kernel selection forl semi-supervised kernel machines

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTER ANALYSIS; DATA STRUCTURES; GRAPHIC METHODS; OPTIMIZATION;

EID: 34547976677     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1273496.1273520     Document Type: Conference Paper
Times cited : (15)

References (18)
  • 3
    • 3142725535 scopus 로고    scopus 로고
    • Semi-supervised learning on Riemannian manifolds
    • Belkin, M., & Niyogi, P. (2004). Semi-supervised learning on Riemannian manifolds. Machine Learning, 56, 209-239.
    • (2004) Machine Learning , vol.56 , pp. 209-239
    • Belkin, M.1    Niyogi, P.2
  • 4
    • 33750729556 scopus 로고    scopus 로고
    • Manifold regularization: A geometric framework for learning from labeled and unlabeled examples
    • Belkin, M., Niyogi, P., & Sindhwani, V. (2006). Manifold regularization: A geometric framework for learning from labeled and unlabeled examples. Journal of Machine Learning Research, 7, 2399-2434.
    • (2006) Journal of Machine Learning Research , vol.7 , pp. 2399-2434
    • Belkin, M.1    Niyogi, P.2    Sindhwani, V.3
  • 6
    • 0036161011 scopus 로고    scopus 로고
    • Choosing multiple parameters for support vector machines
    • Chapelle, O., Vapnik, V., Bousquet, O., & Mukherjee, S. (2002). Choosing multiple parameters for support vector machines. Machine Learning, 46, 131-159.
    • (2002) Machine Learning , vol.46 , pp. 131-159
    • Chapelle, O.1    Vapnik, V.2    Bousquet, O.3    Mukherjee, S.4
  • 14
    • 34547998367 scopus 로고    scopus 로고
    • Graph based semi-supervised learning and spectral kernel design
    • RC23713, IBM T.J. Watson Research Center
    • Zhang, T., & Ando, R. (2005). Graph based semi-supervised learning and spectral kernel design (Technical Report RC23713). IBM T.J. Watson Research Center.
    • (2005) Technical Report
    • Zhang, T.1    Ando, R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.