메뉴 건너뛰기




Volumn , Issue , 2012, Pages 61-70

Sequential alternating proximal method for scalable sparse structural SVMs

Author keywords

Alternating proximal method; Structural SVMs

Indexed keywords

BENCHMARK DATASETS; COMPLEX OBJECTS; DUAL FORMULATIONS; ELASTIC NET; FEATURE SPACE; GENERALIZATION PERFORMANCE; HIGH-DIMENSIONAL MODELS; IMAGE SEGMENTS; LARGE DATASETS; MODEL PARAMETERS; PARAMETER VECTORS; PART-OF-SPEECH TAGS; PROXIMAL ALGORITHM; PROXIMAL METHODS; REGULARIZER; SPARSE MODELS; STRUCTURAL SUPPORT; STRUCTURAL SVMS;

EID: 84874093534     PISSN: 15504786     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDM.2012.81     Document Type: Conference Paper
Times cited : (6)

References (23)
  • 1
    • 48549093619 scopus 로고    scopus 로고
    • Alternating proximal algorithms for weakly coupled convex minimization problems. Applications to dynamical games and PDE's
    • H. Attouch, J. Bolte, P. Redont and A. Soubeyran. Alternating proximal algorithms for weakly coupled convex minimization problems. Applications to dynamical games and PDE's. Journal of Convex Analysis 15 (3), 485-506. 2008.
    • (2008) Journal of Convex Analysis , vol.15 , Issue.3 , pp. 485-506
    • Attouch, H.1    Bolte, J.2    Redont, P.3    Soubeyran, A.4
  • 3
    • 84904136037 scopus 로고    scopus 로고
    • Large-scale machine learning with stochastic gradient descent
    • L. Bottou. Large-Scale Machine Learning with Stochastic Gradient Descent. COMPSTAT, 2010.
    • (2010) COMPSTAT
    • Bottou, L.1
  • 4
    • 0002709342 scopus 로고    scopus 로고
    • Feature Selection via concave minimization and support vector machines
    • P. S. Bradley and O. L. Mangasarian. Feature Selection via concave minimization and support vector machines. ICML, 1998.
    • (1998) ICML
    • Bradley, P.S.1    Mangasarian, O.L.2
  • 5
    • 84874097950 scopus 로고    scopus 로고
    • Brown Corpus
    • Brown Corpus. Available at http://nltk.googlecode.com/svn/trunk/nltk- data/index.xml
  • 9
    • 69549111057 scopus 로고    scopus 로고
    • Cutting-plane training of structural SVMs
    • T. Joachims, T. Finley and C-N. J. Yu. Cutting-Plane training of Structural SVMs. Machine Learning, 77(1):27-59, 2009.
    • (2009) Machine Learning , vol.77 , Issue.1 , pp. 27-59
    • Joachims, T.1    Finley, T.2    Yu, C.-N.J.3
  • 12
    • 67049169189 scopus 로고    scopus 로고
    • Comparisons of sequence-labeling algorithms and extensions
    • N. Nguyen and Y. Guo. Comparisons of Sequence-labeling Algorithms and Extensions. ICML, 2007.
    • (2007) ICML
    • Nguyen, N.1    Guo, Y.2
  • 14
    • 85109864082 scopus 로고    scopus 로고
    • Introduction to the CoNLL-2000 shared task: Chunking
    • E. F. T. K. Sang and S. Buchholz. Introduction to the CoNLL-2000 shared task: Chunking. CoNLL, 2000.
    • (2000) CoNLL
    • Sang, E.F.T.K.1    Buchholz, S.2
  • 16
    • 24944537843 scopus 로고    scopus 로고
    • Large margin methods for structured and inter-dependent output variables
    • I. Tsochantaridis, T. Joachims, T. Hoffmann and Y. Altun. Large Margin Methods for Structured and Inter-dependent Output Variables. JMLR, 6:1453:1484, 2005.
    • (2005) JMLR , vol.6 , pp. 1453-1484
    • Tsochantaridis, I.1    Joachims, T.2    Hoffmann, T.3    Altun, Y.4
  • 18
    • 33746154240 scopus 로고    scopus 로고
    • The doubly regularized support vector machine
    • L. Wang, J. Zhu, and H. Zou. The Doubly Regularized Support Vector Machine. Statistica Sinica, 16(2), 589-616, 2006.
    • (2006) Statistica Sinica , vol.16 , Issue.2 , pp. 589-616
    • Wang, L.1    Zhu, J.2    Zou, H.3
  • 20
    • 84865105547 scopus 로고    scopus 로고
    • Large-margin structured prediction via linear programming
    • Z. Wang and J. Shawe-Taylor. Large-Margin Structured Prediction via Linear Programming. AISTATS, 2009.
    • (2009) AISTATS
    • Wang, Z.1    Shawe-Taylor, J.2
  • 21
    • 78651547900 scopus 로고    scopus 로고
    • Analysis and generalizations of the linearized bregman method
    • W. Yin. Analysis and Generalizations of the Linearized Bregman Method. SIAM Journal of Imaging Sciences, Vol. 3, No. 4, pp. 856-877. 2010.
    • (2010) SIAM Journal of Imaging Sciences , vol.3 , Issue.4 , pp. 856-877
    • Yin, W.1
  • 22
    • 70350630580 scopus 로고    scopus 로고
    • Primal sparse max-margin markov networks
    • J. Zhu, E. P. Xing and B. Zhang. Primal Sparse Max-Margin Markov Networks. SIGKDD, 2009.
    • (2009) SIGKDD
    • Zhu, J.1    Xing, E.P.2    Zhang, B.3
  • 23
    • 16244401458 scopus 로고    scopus 로고
    • Regularization and variable selection via the elastic net
    • H. Zou and T. Hastie. Regularization and variable selection via the elastic net. J. Roy. Statist. Soc. Ser. B 67, 301-320, 2005.
    • (2005) J. Roy. Statist. Soc. Ser. B , vol.67 , pp. 301-320
    • Zou, H.1    Hastie, T.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.