메뉴 건너뛰기




Volumn Part F128815, Issue , 2013, Pages 257-265

Recursive regularization for large-scale classification with hierarchical and graphical dependencies

Author keywords

Hierarchical classification; Large scale evaluation; Parallel optimization; Recursive regularization

Indexed keywords

DATA MINING;

EID: 84991602296     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2487575.2487644     Document Type: Conference Paper
Times cited : (146)

References (40)
  • 1
    • 85025645491 scopus 로고    scopus 로고
    • http://leon.bottou.org/projects/sgd.
  • 2
    • 55149088329 scopus 로고    scopus 로고
    • Convex multi-Task feature learning
    • A. Argyriou, T. Evgeniou, and M. 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
  • 4
    • 85162050606 scopus 로고    scopus 로고
    • Label embedding trees for large multi-class tasks
    • S. Bengio, J. Weston, and D. Grangier. Label embedding trees for large multi-class tasks. NIPS, 23:163-171, 2010.
    • (2010) NIPS , vol.23 , pp. 163-171
    • Bengio, S.1    Weston, J.2    Grangier, D.3
  • 5
    • 72449184156 scopus 로고    scopus 로고
    • Refined experts: Improving classification in large taxonomies
    • P.N. Bennett and N. Nguyen. Refined experts: improving classification in large taxonomies. In SIGIR, 2009.
    • (2009) SIGIR
    • Bennett, P.N.1    Nguyen, N.2
  • 6
    • 18744367558 scopus 로고    scopus 로고
    • Hierarchical document categorization with support vector machines
    • ACM
    • L. Cai and T. Hofmann. Hierarchical document categorization with support vector machines. In CIKM, pages 78-87. ACM, 2004.
    • (2004) CIKM , pp. 78-87
    • Cai, L.1    Hofmann, T.2
  • 7
    • 29644434908 scopus 로고    scopus 로고
    • Incremental algorithms for hierarchical classification
    • N. Cesa-Bianchi, C. Gentile, and L. Zaniboni. Incremental algorithms for hierarchical classification. JMLR, 7:31-54, 2006.
    • (2006) JMLR , vol.7 , pp. 31-54
    • Cesa-Bianchi, N.1    Gentile, C.2    Zaniboni, L.3
  • 9
    • 29644438951 scopus 로고    scopus 로고
    • Large margin hierarchical classification
    • ACM
    • O. Dekel, J. Keshet, and Y. Singer. Large margin hierarchical classification. In ICML, page 27. ACM, 2004.
    • (2004) ICML , pp. 27
    • Dekel, O.1    Keshet, J.2    Singer, Y.3
  • 11
    • 34547459513 scopus 로고    scopus 로고
    • Hierarchical classification of web content
    • S. Dumais and H. Chen. Hierarchical classification of web content. In ACM SIGIR, 2000.
    • (2000) ACM SIGIR
    • Dumais, S.1    Chen, H.2
  • 12
    • 12244250351 scopus 로고    scopus 로고
    • Regularized multi-Task learning
    • ACM
    • T. Evgeniou and M. Pontil. Regularized multi-Task learning. In SIGKDD, pages 109-117. ACM, 2004.
    • (2004) SIGKDD , pp. 109-117
    • Evgeniou, T.1    Pontil, M.2
  • 14
    • 80052395632 scopus 로고    scopus 로고
    • Residual splash for optimally parallelizing belief propagation
    • J. Gonzalez, Y. Low, and C. Guestrin. Residual splash for optimally parallelizing belief propagation. Aistats, 2009.
    • (2009) Aistats
    • Gonzalez, J.1    Low, Y.2    Guestrin, C.3
  • 17
    • 56449086680 scopus 로고    scopus 로고
    • A dual coordinate descent method for large-scale linear SVM
    • ACM
    • C.J. Hsieh, K.W. Chang, C.J. Lin, S.S. Keerthi, and S. Sundararajan. A dual coordinate descent method for large-scale linear svm. In ICML, pages 408-415. ACM, 2008.
    • (2008) ICML , pp. 408-415
    • Hsieh, C.J.1    Chang, K.W.2    Lin, C.J.3    Keerthi, S.S.4    Sundararajan, S.5
  • 19
    • 0030405371 scopus 로고    scopus 로고
    • Training algorithms for linear text classifiers
    • ACM
    • D.D. Lewis, R.E. Schapire, J.P. Callan, and R. Papka. Training algorithms for linear text classifiers. In SIGIR, pages 298-306. ACM, 1996.
    • (1996) SIGIR , pp. 298-306
    • Lewis, D.D.1    Schapire, R.E.2    Callan, J.P.3    Papka, R.4
  • 20
    • 84876811202 scopus 로고    scopus 로고
    • Rcv1: A new benchmark collection for text categorization research
    • D.D. Lewis, Y. Yang, T.G. Rose, and F. Li. Rcv1: A new benchmark collection for text categorization research. JMLR, 5:361-397, 2004.
    • (2004) JMLR , vol.5 , pp. 361-397
    • Lewis, D.D.1    Yang, Y.2    Rose, T.G.3    Li, F.4
  • 21
    • 33646887390 scopus 로고
    • On the limited memory BFGS method for large scale optimization
    • D.C. Liu and J. Nocedal. On the limited memory bfgs method for large scale optimization. Mathematical programming, 45(1):503-528, 1989.
    • (1989) Mathematical Programming , vol.45 , Issue.1 , pp. 503-528
    • Liu, D.C.1    Nocedal, J.2
  • 22
    • 33745776526 scopus 로고    scopus 로고
    • Support vector machines classification with a very large-scale taxonomy
    • T.Y. Liu, Y. Yang, H. Wan, H.J. Zeng, Z. Chen, and W.Y. Ma. Support vector machines classification with a very large-scale taxonomy. ACM SIGKDD, pages 36-43, 2005.
    • (2005) ACM SIGKDD , pp. 36-43
    • Liu, T.Y.1    Yang, Y.2    Wan, H.3    Zeng, H.J.4    Chen, Z.5    Ma, W.Y.6
  • 23
    • 0026678659 scopus 로고
    • On the convergence of the coordinate descent method for convex difierentiable minimization
    • Z.Q. Luo and P. Tseng. On the convergence of the coordinate descent method for convex difierentiable minimization. Journal of Optimization Theory and Applications, 72(1):7-35, 1992.
    • (1992) Journal of Optimization Theory and Applications , vol.72 , Issue.1 , pp. 7-35
    • Luo, Z.Q.1    Tseng, P.2
  • 24
    • 0002332781 scopus 로고    scopus 로고
    • Improving text classification by shrinkage in a hierarchy of classes
    • A. McCallum, R. Rosenfeld, T. Mitchell, and A.Y. Ng. Improving text classification by shrinkage in a hierarchy of classes. In ICML, pages 359-367, 1998.
    • (1998) ICML , pp. 359-367
    • McCallum, A.1    Rosenfeld, R.2    Mitchell, T.3    Ng, A.Y.4
  • 27
    • 46249113842 scopus 로고    scopus 로고
    • Improving classification when a class hierarchy is available using a hierarchy-based prior
    • B. Shahbaba and R.M. Neal. Improving classification when a class hierarchy is available using a hierarchy-based prior. Bayesian Analysis, 2(1):221-238, 2007.
    • (2007) Bayesian Analysis , vol.2 , Issue.1 , pp. 221-238
    • Shahbaba, B.1    Neal, R.M.2
  • 28
    • 34547964973 scopus 로고    scopus 로고
    • Pegasos: Primal estimated sub-gradient solver for SVM
    • ACM
    • S. Shalev-Shwartz, Y. Singer, and N. Srebro. Pegasos: Primal estimated sub-gradient solver for svm. In ICML, pages 807-814. ACM, 2007.
    • (2007) ICML , pp. 807-814
    • Shalev-Shwartz, S.1    Singer, Y.2    Srebro, N.3
  • 30
    • 0035533631 scopus 로고    scopus 로고
    • Convergence of a block coordinate descent method for nondifierentiable minimization
    • P. Tseng. Convergence of a block coordinate descent method for nondifierentiable minimization. Journal of optimization theory and applications, 109(3):475-494, 2001.
    • (2001) Journal of Optimization Theory and Applications , vol.109 , Issue.3 , pp. 475-494
    • Tseng, P.1
  • 31
    • 24944537843 scopus 로고    scopus 로고
    • Large margin methods for structured and interdependent output variables
    • I. Tsochantaridis, T. Joachims, T. Hofmann, and Y. Altun. Large margin methods for structured and interdependent output variables. JMLR, 6(2):1453, 2006.
    • (2006) JMLR , vol.6 , Issue.2 , pp. 1453
    • Tsochantaridis, I.1    Joachims, T.2    Hofmann, T.3    Altun, Y.4
  • 33
    • 85025699562 scopus 로고    scopus 로고
    • IPC WIPO. http://www.wipo.int/classi-cations/ipc/en/support/.
    • IPC WIPO
  • 34
    • 57349177558 scopus 로고    scopus 로고
    • Deep classification in large-scale text hierarchies
    • ACM
    • G.R. Xue, D. Xing, Q. Yang, and Y. Yu. Deep classification in large-scale text hierarchies. In SIGIR, pages 619-626. ACM, 2008.
    • (2008) SIGIR , pp. 619-626
    • Xue, G.R.1    Xing, D.2    Yang, Q.3    Yu, Y.4
  • 35
    • 0034785186 scopus 로고    scopus 로고
    • A study of thresholding strategies for text categorization
    • ACM
    • Y. Yang. A study of thresholding strategies for text categorization. In SIGIR, pages 137-145. ACM, 2001.
    • (2001) SIGIR , pp. 137-145
    • Yang, Y.1
  • 36
    • 1542317646 scopus 로고    scopus 로고
    • A scalability analysis of classifiers in text categorization
    • ACM
    • Y. Yang, J. Zhang, and B. Kisiel. A scalability analysis of classifiers in text categorization. In SIGIR, pages 96-103. ACM, 2003.
    • (2003) SIGIR , pp. 96-103
    • Yang, Y.1    Zhang, J.2    Kisiel, B.3
  • 37
    • 27144441097 scopus 로고    scopus 로고
    • An evaluation of statistical approaches to text categorization
    • Yiming Yang. An evaluation of statistical approaches to text categorization. Information Retrieval, 1:67-88, 1999.
    • (1999) Information Retrieval , vol.1 , pp. 67-88
    • Yang, Y.1
  • 38
    • 0001868572 scopus 로고    scopus 로고
    • Text categorization based on regularized linear classification methods
    • T. Zhang and F.J. Oles. Text categorization based on regularized linear classification methods. Information retrieval, 4(1):5-31, 2001.
    • (2001) Information Retrieval , vol.4 , Issue.1 , pp. 5-31
    • Zhang, T.1    Oles, F.J.2
  • 39
    • 33749580724 scopus 로고    scopus 로고
    • Linear prediction models with graph regularization for web-page categorization
    • ACM
    • T. Zhang, A. Popescul, and B. Dom. Linear prediction models with graph regularization for web-page categorization. In SIGKDD, pages 821-826. ACM, 2006.
    • (2006) SIGKDD , pp. 821-826
    • Zhang, T.1    Popescul, A.2    Dom, B.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.