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Volumn 2, Issue , 2008, Pages 752-757

Multi-view local learning

Author keywords

[No Author keywords available]

Indexed keywords

APPLICATIONS; ARTIFICIAL INTELLIGENCE; BIONICS;

EID: 57749186425     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (30)

References (29)
  • 1
    • 84864060454 scopus 로고    scopus 로고
    • Combining graph laplacians for semi-supervised learning
    • Argyriou, A.; Herbster, M.; and Pontil, M. 2005. Combining graph laplacians for semi-supervised learning. In NIPS.
    • (2005) NIPS
    • Argyriou, A.1    Herbster, M.2    Pontil, M.3
  • 3
    • 0000876414 scopus 로고
    • Local learning algorithms
    • Bottou, L., and Vapnik, V. 1992. Local learning algorithms. Neural Computation 4(6):888-900.
    • (1992) Neural Computation , vol.4 , Issue.6 , pp. 888-900
    • Bottou, L.1    Vapnik, V.2
  • 7
    • 0000806922 scopus 로고    scopus 로고
    • Automating the construction of internet portals with machine learning
    • McCallum, A. K.; Nigam, K.; Rennie, J.; and Seymore, K. 2000. Automating the construction of internet portals with machine learning. Information Retrieval 3(2): 127-163.
    • (2000) Information Retrieval , vol.3 , Issue.2 , pp. 127-163
    • McCallum, A.K.1    Nigam, K.2    Rennie, J.3    Seymore, K.4
  • 8
    • 0041875229 scopus 로고    scopus 로고
    • On spectral clustering: Analysis and an algorithm
    • Ng, A. Y.; Jordan, M. I.; and Weiss, Y. 2001. On spectral clustering: Analysis and an algorithm. In NIPS, 849-856.
    • (2001) NIPS , pp. 849-856
    • Ng, A.Y.1    Jordan, M.I.2    Weiss, Y.3
  • 10
    • 70349185610 scopus 로고    scopus 로고
    • The rademacher complexity of co-regularized kernel classes
    • Rosenberg, D. S., and Bartlett, P. L. 2007. The rademacher complexity of co-regularized kernel classes. In AISTATS.
    • (2007) AISTATS
    • Rosenberg, D.S.1    Bartlett, P.L.2
  • 14
    • 0041965980 scopus 로고    scopus 로고
    • Cluster ensembles - a knowledge reuse framework for combining multiple partitions
    • Strehl, A., and Ghosh, J. 2002. Cluster ensembles - a knowledge reuse framework for combining multiple partitions. Journal on Machine Learning Research (JMLR) 3:583-617.
    • (2002) Journal on Machine Learning Research (JMLR) , vol.3 , pp. 583-617
    • Strehl, A.1    Ghosh, J.2
  • 15
    • 27544435126 scopus 로고    scopus 로고
    • Fast protein classification with multiple networks
    • Tsuda, K.; Shin, H.; and Schölkopf, B. 2005. Fast protein classification with multiple networks. Bioinformatics 21 (2):59-65.
    • (2005) Bioinformatics , vol.21 , Issue.2 , pp. 59-65
    • Tsuda, K.1    Shin, H.2    Schölkopf, B.3
  • 18
    • 36348998083 scopus 로고    scopus 로고
    • Wang, F.; Zhang, C.; and Li, T 2007. Clustering with local and global regularization. In AAA1, 657-662.
    • Wang, F.; Zhang, C.; and Li, T 2007. Clustering with local and global regularization. In AAA1, 657-662.
  • 21
    • 34547994322 scopus 로고    scopus 로고
    • Local learning projections
    • Wu, M.; Yu, K.; Yu, S.; and Schölkopf, B. 2007. Local learning projections. In ICML, 1039-1046.
    • (2007) ICML , pp. 1039-1046
    • Wu, M.1    Yu, K.2    Yu, S.3    Schölkopf, B.4
  • 23
    • 33644783522 scopus 로고    scopus 로고
    • Self-tuning spectral clustering
    • Zelnik-Manor, L., and Perona, P. 2004. Self-tuning spectral clustering. In NIPS.
    • (2004) NIPS
    • Zelnik-Manor, L.1    Perona, P.2
  • 24
    • 0013246766 scopus 로고    scopus 로고
    • Spectral relaxation for k-means clustering
    • Zha, H.; He, X.; Ding, C. H. Q.; Gu, M.; and Simon, H. D. 2001. Spectral relaxation for k-means clustering. In NIPS, 1057-1064.
    • (2001) NIPS , pp. 1057-1064
    • Zha, H.1    He, X.2    Ding, C.H.Q.3    Gu, M.4    Simon, H.D.5
  • 27
    • 57749203553 scopus 로고    scopus 로고
    • Zhou, D.; Bousquet, O.; Lai, T.; Weston, J.; and Schölkopf, B. 2003. Learning with local and global consistency. In In 18th Annual Conf. on Neural Information Processing Systems.
    • Zhou, D.; Bousquet, O.; Lai, T.; Weston, J.; and Schölkopf, B. 2003. Learning with local and global consistency. In In 18th Annual Conf. on Neural Information Processing Systems.
  • 29
    • 1942484430 scopus 로고    scopus 로고
    • Semi-supervised learning using gaussian fields and harmonic functions
    • Zhu, X.; Ghahramani, Z.; and Lafferty, J. D. 2003. Semi-supervised learning using gaussian fields and harmonic functions. In ICML, 912-919.
    • (2003) ICML , pp. 912-919
    • Zhu, X.1    Ghahramani, Z.2    Lafferty, J.D.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.