메뉴 건너뛰기




Volumn 1, Issue January, 2014, Pages 873-881

Multilabel structured output learning with random spanning trees of max-margin Markov networks

Author keywords

[No Author keywords available]

Indexed keywords

INFORMATION SCIENCE; MARKOV PROCESSES;

EID: 84937885953     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (4)

References (16)
  • 1
    • 84898948585 scopus 로고    scopus 로고
    • Max-margin Markov networks
    • S. Thrun, L.K. Saul, and B. Schölkopf, editors MIT Press
    • Ben Taskar, Carlos Guestrin, and Daphne Koller. Max-margin markov networks. In S. Thrun, L.K. Saul, and B. Schölkopf, editors, Advances in Neural Information Processing Systems 16, pages 25-32. MIT Press, 2004.
    • (2004) Advances in Neural Information Processing Systems , vol.16 , pp. 25-32
    • Taskar, B.1    Guestrin, C.2    Koller, D.3
  • 2
    • 27744456278 scopus 로고    scopus 로고
    • MAP estimation via agreement on trees: Message-passing and linear programming
    • Martin J. Wainwright, Tommy S. Jaakkola, and Alan S. Willsky. MAP estimation via agreement on trees: message-passing and linear programming. IEEE Transactions on Information Theory, 51(11):3697-3717, 2005.
    • (2005) IEEE Transactions on Information Theory , vol.51 , Issue.11 , pp. 3697-3717
    • Wainwright, M.J.1    Jaakkola, T.S.2    Willsky, A.S.3
  • 3
    • 4043061881 scopus 로고    scopus 로고
    • Semidefinite relaxations for approximate inference on graphs with cycles
    • S. Thrun, L.K. Saul, and B. Schölkopf, editors MIT Press
    • Michael I. Jordan and Martin J Wainwright. Semidefinite relaxations for approximate inference on graphs with cycles. In S. Thrun, L.K. Saul, and B. Schölkopf, editors, Advances in Neural Information Processing Systems 16, pages 369-376. MIT Press, 2004.
    • (2004) Advances in Neural Information Processing Systems , vol.16 , pp. 369-376
    • Jordan, M.I.1    Wainwright, M.J.2
  • 4
    • 77951944523 scopus 로고    scopus 로고
    • Approximate inference using planar graph decomposition
    • B. Schölkopf, J.C. Platt, and T. Hoffman, editors MIT Press
    • Amir Globerson and Tommi S. Jaakkola. Approximate inference using planar graph decomposition. In B. Schölkopf, J.C. Platt, and T. Hoffman, editors, Advances in Neural Information Processing Systems 19, pages 473-480. MIT Press, 2007.
    • (2007) Advances in Neural Information Processing Systems , vol.19 , pp. 473-480
    • Globerson, A.1    Jaakkola, T.S.2
  • 5
    • 84928376670 scopus 로고    scopus 로고
    • Multilabel classification through random graph ensembles
    • Hongyu Su and Juho Rousu. Multilabel classification through random graph ensembles. Machine Learning, dx.doi.org/10.1007/s10994-014-5465-9, 2014.
    • (2014) Machine Learning
    • Su, H.1    Rousu, J.2
  • 7
    • 68949149733 scopus 로고    scopus 로고
    • On structured output training: Hard cases and an efficient alternative
    • Thomas Gärtner and Shankar Vembu. On structured output training: hard cases and an efficient alternative. Machine Learning, 79:227-242, 2009.
    • (2009) Machine Learning , vol.79 , pp. 227-242
    • Gärtner, T.1    Vembu, S.2
  • 10
    • 0002935122 scopus 로고    scopus 로고
    • Combining support vector and mathematical programming methods for classifications
    • B. Schölkopf, C. J. C. Burges, and A. J. Smola, editors MIT Press, Cambridge, MA
    • Kristin P. Bennett. Combining support vector and mathematical programming methods for classifications. In B. Schölkopf, C. J. C. Burges, and A. J. Smola, editors, Advances in Kernel Methods-Support Vector Learning, pages 307-326. MIT Press, Cambridge, MA, 1999.
    • (1999) Advances in Kernel Methods-Support Vector Learning , pp. 307-326
    • Bennett, K.P.1
  • 12
    • 55149088329 scopus 로고    scopus 로고
    • Convex multi-task feature learning
    • Andreas Argyriou, Theodoros Evgeniou, and Massimiliano Pontil. Convex multi-task feature learning. Machine Learning, 73(3):243-272, 2008.
    • (2008) Machine Learning , vol.73 , Issue.3 , pp. 243-272
    • Argyriou, A.1    Evgeniou, T.2    Pontil, M.3
  • 14
    • 80053452778 scopus 로고    scopus 로고
    • A note on the PAC Bayesian theorem
    • Andreas Maurer. A note on the PAC Bayesian theorem. CoRR, cs.LG/0411099, 2004.
    • (2004) CoRR, Cs.LG/0411099
    • Maurer, A.1
  • 15
    • 0037399538 scopus 로고    scopus 로고
    • PAC-Bayesian stochastic model selection
    • David McAllester. PAC-Bayesian stochastic model selection. Machine Learning, 51:5-21, 2003.
    • (2003) Machine Learning , vol.51 , pp. 5-21
    • McAllester, D.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.