메뉴 건너뛰기




Volumn 4, Issue , 2012, Pages 3077-3085

Learning with partially absorbing random walks

Author keywords

[No Author keywords available]

Indexed keywords

ABSORPTION PROBABILITIES; ABSORPTION RATES; CLUSTER ASSUMPTIONS; GRAPH STRUCTURES; GRAPH-BASED LEARNING; RANDOM EDGES; RANDOM WALK;

EID: 84877747474     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (137)

References (20)
  • 1
    • 35448943485 scopus 로고    scopus 로고
    • Detecting sharp drops in pagerank and a simplified local partitioning algorithm
    • R. Andersen and F. Chung. Detecting sharp drops in pagerank and a simplified local partitioning algorithm. Theory and Applications of Models of Computation, pages 1-12, 2007.
    • (2007) Theory and Applications of Models of Computation , pp. 1-12
    • Andersen, R.1    Chung, F.2
  • 2
    • 38749085661 scopus 로고    scopus 로고
    • Local graph partitioning using pagerank vectors
    • R. Andersen, F. Chung, and K. Lang. Local graph partitioning using pagerank vectors. In FOCS, pages 475-486, 2006.
    • (2006) FOCS , pp. 475-486
    • Andersen, R.1    Chung, F.2    Lang, K.3
  • 4
    • 84924195580 scopus 로고    scopus 로고
    • Bookmark-coloring algorithm for personalized pagerank computing
    • P. Berkhin. Bookmark-coloring algorithm for personalized pagerank computing. Internet Mathematics, 3(1):41-62, 2006.
    • (2006) Internet Mathematics , vol.3 , Issue.1 , pp. 41-62
    • Berkhin, P.1
  • 5
    • 51949086172 scopus 로고    scopus 로고
    • Semi-supervised classification by low density separation
    • O. Chapelle and A. Zien. Semi-supervised classification by low density separation. In AISTATS, 2005.
    • (2005) AISTATS
    • Chapelle, O.1    Zien, A.2
  • 8
    • 33847766633 scopus 로고    scopus 로고
    • Random-walk computation of similarities between nodes of a graph with application to collaborative recommendation
    • F. Fouss, A. Pirotte, J. Renders, and M. Saerens. Random-walk computation of similarities between nodes of a graph with application to collaborative recommendation. IEEE Transactions on Knowledge and Data Engineering, 19(3):355-369, 2007.
    • (2007) IEEE Transactions on Knowledge and Data Engineering , vol.19 , Issue.3 , pp. 355-369
    • Fouss, F.1    Pirotte, A.2    Renders, J.3    Saerens, M.4
  • 10
    • 84862292264 scopus 로고    scopus 로고
    • Semisupervised learning with max-margin graph cuts
    • B. Kveton, M. Valko, A. Rahimi, and L. Huang. Semisupervised learning with max-margin graph cuts. In AISTATS, pages 421-428, 2010.
    • (2010) AISTATS , pp. 421-428
    • Kveton, B.1    Valko, M.2    Rahimi, A.3    Huang, L.4
  • 11
    • 0025802278 scopus 로고
    • The mixing rate of markov chains, an isoperimetric inequality, and computing the volume
    • L. Lovász and M. Simonovits. The mixing rate of markov chains, an isoperimetric inequality, and computing the volume. In FOCS, pages 346-354, 1990.
    • (1990) FOCS , pp. 346-354
    • Lovász, L.1    Simonovits, M.2
  • 12
    • 1942417954 scopus 로고    scopus 로고
    • A random walks view of spectral segmentation
    • M. Meila and J. Shi. A random walks view of spectral segmentation. In AISTATS, 2001.
    • (2001) AISTATS
    • Meila, M.1    Shi, J.2
  • 13
    • 84862274185 scopus 로고    scopus 로고
    • Statistical analysis of semi-supervised learning: The limit of infinite unlabelled data
    • B. Nadler, N. Srebro, and X. Zhou. Statistical analysis of semi-supervised learning: The limit of infinite unlabelled data. In NIPS, pages 1330-1338, 2009.
    • (2009) NIPS , pp. 1330-1338
    • Nadler, B.1    Srebro, N.2    Zhou, X.3
  • 15
    • 70350679590 scopus 로고    scopus 로고
    • A local clustering algorithm for massive graphs and its application to nearly-linear time graph partitioning
    • abs/0809.3232
    • D. A. Spielman and S.-H. Teng. A local clustering algorithm for massive graphs and its application to nearly-linear time graph partitioning. CoRR, abs/0809.3232, 2008.
    • (2008) CoRR
    • Spielman, D.A.1    Teng, S.-H.2
  • 20
    • 1942484430 scopus 로고    scopus 로고
    • Semi-supervised learning using gaussian fields and harmonic functions
    • X. Zhu, Z. Ghahramani, and J. Lafferty. Semi-supervised learning using gaussian fields and harmonic functions. In ICML, 2003.
    • (2003) ICML
    • Zhu, X.1    Ghahramani, Z.2    Lafferty, J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.