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Volumn 8190 LNAI, Issue PART 3, 2013, Pages 160-175

Influence of graph construction on semi-supervised learning

Author keywords

classification; experimental study; graph based methods; Semi supervised learning

Indexed keywords

CLASSIFICATION PERFORMANCE; EXPERIMENTAL STUDY; GRAPH-BASED METHODS; GRAPH-CONSTRUCTION METHOD; MUTUAL K-NEAREST NEIGHBORS; REGULARIZATION PARAMETERS; SEMI-SUPERVISED LEARNING; SEMI-SUPERVISED LEARNING (SSL);

EID: 84886483781     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-40994-3_11     Document Type: Conference Paper
Times cited : (100)

References (16)
  • 1
    • 33750729556 scopus 로고    scopus 로고
    • Manifold regularization: A geometric framework for learning from labeled and unlabeled examples
    • Belkin, M., Niyogi, P., Sindhwani, V.: Manifold regularization: A geometric framework for learning from labeled and unlabeled examples. JMLR 7, 2399-2434 (2006)
    • (2006) JMLR , vol.7 , pp. 2399-2434
    • Belkin, M.1    Niyogi, P.2    Sindhwani, V.3
  • 2
    • 84947205653 scopus 로고    scopus 로고
    • When is "nearest neighbor" meaningful?
    • Beeri, C., Bruneman, P. (eds.) ICDT 1999. Springer, Heidelberg
    • Beyer, K., Goldstein, J., Ramakrishnan, R., Shaft, U.: When is "nearest neighbor" meaningful? In: Beeri, C., Bruneman, P. (eds.) ICDT 1999. LNCS, vol. 1540, pp. 217-235. Springer, Heidelberg (1998)
    • (1998) LNCS , vol.1540 , pp. 217-235
    • Beyer, K.1    Goldstein, J.2    Ramakrishnan, R.3    Shaft, U.4
  • 4
    • 29644438050 scopus 로고    scopus 로고
    • Statistical comparisons of classifiers over multiple data sets
    • Demšar, J.: Statistical comparisons of classifiers over multiple data sets. JMLR 7, 1-30 (2006)
    • (2006) JMLR , vol.7 , pp. 1-30
    • Demšar, J.1
  • 5
    • 84864031835 scopus 로고    scopus 로고
    • Manifold denoising
    • Hein, M., Maier, M.: Manifold denoising. In: NIPS 19, pp. 561-568 (2007)
    • (2007) NIPS , vol.19 , pp. 561-568
    • Hein, M.1    Maier, M.2
  • 6
    • 71149102018 scopus 로고    scopus 로고
    • Graph construction and b-matching for semisupervised learning
    • Jebara, T., Wang, J., Chang, S.F.: Graph construction and b-matching for semisupervised learning. In: ICML, pp. 441-448 (2009)
    • (2009) ICML , pp. 441-448
    • Jebara, T.1    Wang, J.2    Chang, S.F.3
  • 7
    • 34547696887 scopus 로고    scopus 로고
    • On the effectiveness of laplacian normalization for graph semi-supervised learning
    • Johnson, R., Zhang, T.: On the effectiveness of laplacian normalization for graph semi-supervised learning. JMLR 8, 1489-1517 (2007)
    • (2007) JMLR , vol.8 , pp. 1489-1517
    • Johnson, R.1    Zhang, T.2
  • 8
    • 70450170579 scopus 로고    scopus 로고
    • Robust multi-class transductive learning with graphs
    • Liu, W., Chang, S.F.: Robust multi-class transductive learning with graphs. In: CVPR, pp. 381-388 (2009)
    • (2009) CVPR , pp. 381-388
    • Liu, W.1    Chang, S.F.2
  • 9
    • 77956555216 scopus 로고    scopus 로고
    • Large graph construction for scalable semi-supervised learning
    • Liu, W., He, J., Chang, S.F.: Large graph construction for scalable semi-supervised learning. In: ICML, pp. 679-686 (2010)
    • (2010) ICML , pp. 679-686
    • Liu, W.1    He, J.2    Chang, S.F.3
  • 10
    • 62749193549 scopus 로고    scopus 로고
    • Optimal construction of k-nearest-neighbor graphs for identifying noisy clusters
    • Maier, M., Hein, M., von Luxburg, U.: Optimal construction of k-nearest-neighbor graphs for identifying noisy clusters. Theoretical Computer Science 410(19), 1749-1764 (2009)
    • (2009) Theoretical Computer Science , vol.410 , Issue.19 , pp. 1749-1764
    • Maier, M.1    Hein, M.2    Von Luxburg, U.3
  • 11
    • 79955855934 scopus 로고    scopus 로고
    • Laplacian support vector machines trained in the primal
    • Melacci, S., Belkin, M.: Laplacian support vector machines trained in the primal. JMLR 12, 1149-1184 (2011)
    • (2011) JMLR , vol.12 , pp. 1149-1184
    • Melacci, S.1    Belkin, M.2
  • 12
    • 84862279770 scopus 로고    scopus 로고
    • Using the mutual k-nearest neighbor graphs for semi-supervised classification of natural language data
    • Ozaki, K., Shimbo, M., Komachi, M., Matsumoto, Y.: Using the mutual k-nearest neighbor graphs for semi-supervised classification of natural language data. In: CoNLL, pp. 154-162 (2011)
    • (2011) CoNLL , pp. 154-162
    • Ozaki, K.1    Shimbo, M.2    Komachi, M.3    Matsumoto, Y.4
  • 13
    • 0034704222 scopus 로고    scopus 로고
    • Nonlinear dimensionality reduction by locally linear embedding
    • Roweis, S., Saul, L.: Nonlinear dimensionality reduction by locally linear embedding. Science 290(5500), 2323-2326 (2000)
    • (2000) Science , vol.290 , Issue.5500 , pp. 2323-2326
    • Roweis, S.1    Saul, L.2
  • 14
    • 84899006908 scopus 로고    scopus 로고
    • Learning with local and global consistency
    • Zhou, D., Bousquet, O., Lal, T., Weston, J., Schölkopf, B.: Learning with local and global consistency. In: NIPS 16, pp. 321-328 (2004)
    • (2004) NIPS , vol.16 , pp. 321-328
    • Zhou, D.1    Bousquet, O.2    Lal, T.3    Weston, J.4    Schölkopf, B.5
  • 15
    • 33745456231 scopus 로고    scopus 로고
    • Tech. Rep. 1530, Computer Sciences, University of Wisconsin-Madison
    • Zhu, X.: Semi-supervised learning literature survey. Tech. Rep. 1530, Computer Sciences, University of Wisconsin-Madison (2005)
    • (2005) Semi-supervised Learning Literature Survey
    • Zhu, X.1
  • 16
    • 1942484430 scopus 로고    scopus 로고
    • Semi-supervised learning using gaussian fields and harmonic functions
    • Zhu, X., Ghahramani, Z., Lafferty, J.: Semi-supervised learning using gaussian fields and harmonic functions. In: ICML, pp. 912-919 (2003)
    • (2003) ICML , pp. 912-919
    • Zhu, X.1    Ghahramani, Z.2    Lafferty, J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.