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Volumn , Issue PART 3, 2013, Pages 1838-1846

Consistency versus realizable H-consistency for multiclass classification

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE BOOSTING; ALGORITHMS; LEARNING SYSTEMS;

EID: 84897489038     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (19)

References (19)
  • 1
    • 84867129520 scopus 로고    scopus 로고
    • Minimizing the misclassification error rate using a surrogate convex loss
    • Ben-David, S., Loker, D., Srebro, N., and Sridharan, K. Minimizing the misclassification error rate using a surrogate convex loss. In ICML, 2012.
    • (2012) ICML
    • Ben-David, S.1    Loker, D.2    Srebro, N.3    Sridharan, K.4
  • 3
    • 14644395930 scopus 로고    scopus 로고
    • Some infinity theory for predictor ensembles
    • Breiman, L. Some infinity theory for predictor ensembles. Annals of Statistics, 32(1):1-11, 2004.
    • (2004) Annals of Statistics , vol.32 , Issue.1 , pp. 1-11
    • Breiman, L.1
  • 4
    • 0010442827 scopus 로고    scopus 로고
    • On the algorithmic implementation of multiclass kernel-based vector machines
    • Crammer, K. and Singer, Y. On the algorithmic implementation of multiclass kernel-based vector machines. JMLR, 2:265-292, 2001.
    • (2001) JMLR , vol.2 , pp. 265-292
    • Crammer, K.1    Singer, Y.2
  • 5
    • 0034164230 scopus 로고    scopus 로고
    • ADDITIVE LOGISTIC REGRESSION: A STATISTICAL VIEW OF BOOSTING
    • Friedman, J., Hastie, T., and Tibshirani, R. Additive logistic regression: A statistical view of boosting. The Annals of Statistics, 38(2):337-407, 2000. (Pubitemid 33227445)
    • (2000) Annals of Statistics , vol.28 , Issue.2 SPI , pp. 337-407
    • Friedman, J.1    Hastie, T.2    Tibshirani, R.3
  • 6
    • 84866685025 scopus 로고    scopus 로고
    • Large-scale image classification with trace-norm regularization
    • Harchaoui, Zaïd, Douze, Matthijs, Paulin, Mattis, Dudík, Miroslav, and Malick, Jérôme. Large-scale image classification with trace-norm regularization. In CVPR, pp. 3386-3393, 2012.
    • (2012) CVPR , pp. 3386-3393
    • Harchaoui, Z.1    Douze, M.2    Paulin, M.3    Dudík, M.4    Malick, J.5
  • 7
    • 0002192516 scopus 로고
    • Decision theoretic generalizations of the PAC model for neural net and other learning applications
    • Haussler, D. Decision theoretic generalizations of the PAC model for neural net and other learning applications. Information and Computation, 100(1): 78-150, 1992.
    • (1992) Information and Computation , vol.100 , Issue.1 , pp. 78-150
    • Haussler, D.1
  • 9
    • 2142775432 scopus 로고    scopus 로고
    • Multicategory Support Vector Machines: Theory and Application to the Classification of Microarray Data and Satellite Radiance Data
    • Lee, Y., Lin, Y., and Wahba, G. Multicategory support vector machines: Theory and application to the classification of microarray data and satellite radiance data. Journal of the American Statistical Association, 99(465):67-81, 2004. (Pubitemid 38545195)
    • (2004) Journal of the American Statistical Association , vol.99 , Issue.465 , pp. 67-81
    • Lee, Y.1    Lin, Y.2    Wahba, G.3
  • 10
    • 80052870284 scopus 로고    scopus 로고
    • Large-scale image classification: Fast feature extraction and SVM training
    • Lin, Y., Lv, F., Zhu, S., Yang, M., Cour, T., Yu, K., Cao, L., and Huang, T. Large-scale image classification: fast feature extraction and SVM training. In CVPR, pp. 1689-1696, 2011.
    • (2011) CVPR , pp. 1689-1696
    • Lin, Y.1    Lv, F.2    Zhu, S.3    Yang, M.4    Cour, T.5    Yu, K.6    Cao, L.7    Huang, T.8
  • 11
    • 84860605620 scopus 로고    scopus 로고
    • Fisher consistency of multicategory support vector machines
    • Liu, Y. Fisher consistency of multicategory support vector machines. In UAI, pp. 291-298, 2007.
    • (2007) UAI , pp. 291-298
    • Liu, Y.1
  • 12
    • 83555170269 scopus 로고    scopus 로고
    • Random classification noise defeats all convex potential boosters
    • Long, P. M. and Servedio, R. A. Random classification noise defeats all convex potential boosters. Machine Learning, 78(3):287-304, 2010.
    • (2010) Machine Learning , vol.78 , Issue.3 , pp. 287-304
    • Long, P.M.1    Servedio, R.A.2
  • 13
    • 84866652997 scopus 로고    scopus 로고
    • Towards good practice in large-scale learning for image classification
    • Perronnin, F., Akata, Z., Harchaoui, Z., and Schmid, C. Towards good practice in large-scale learning for image classification. CVPR, pp. 3482-3489, 2012.
    • (2012) CVPR , pp. 3482-3489
    • Perronnin, F.1    Akata, Z.2    Harchaoui, Z.3    Schmid, C.4
  • 14
    • 0026899240 scopus 로고
    • Acceleration of stochastic approximation by averaging
    • Polyak, B. T. and Juditsky, A. B. Acceleration of stochastic approximation by averaging. SIAM J. Control Optim., 30(4):838-855, 1992.
    • (1992) SIAM J. Control Optim. , vol.30 , Issue.4 , pp. 838-855
    • Polyak, B.T.1    Juditsky, A.B.2
  • 16
    • 84913705650 scopus 로고
    • Inductive principles of the search for empirical dependences (methods based on weak convergence of probability measures)
    • Vapnik, V. N. Inductive principles of the search for empirical dependences (methods based on weak convergence of probability measures). Proceedings of the 1989 Workshop on Computational Learning Theory, 1989.
    • (1989) Proceedings of the 1989 Workshop on Computational Learning Theory
    • Vapnik, V.N.1
  • 17
    • 77955654853 scopus 로고    scopus 로고
    • Large scale image annotation: Learning to rank with joint word-image embeddings
    • Weston, J., Bengio, S., and Usunier, N. Large scale image annotation: learning to rank with joint word-image embeddings. Machine Learning, 81(1):21-35, 2010.
    • (2010) Machine Learning , vol.81 , Issue.1 , pp. 21-35
    • Weston, J.1    Bengio, S.2    Usunier, N.3
  • 19
    • 26944483874 scopus 로고    scopus 로고
    • Statistical analysis of some multi-category large margin classification methods
    • Zhang, T. Statistical analysis of some multi-category large margin classification methods. Journal of Machine Learning Research, 5:1225-1251, 2004.
    • (2004) Journal of Machine Learning Research , vol.5 , pp. 1225-1251
    • Zhang, T.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.