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Volumn 3, Issue , 2012, Pages 2078-2086

Classification calibration dimension for general multiclass losses

Author keywords

[No Author keywords available]

Indexed keywords

CONSISTENCY PROPERTY; LOSS FUNCTIONS; MULTI-CLASS LEARNING; MULTICLASS CLASSIFICATION PROBLEMS; SPECIFIC LEARNING; SUFFICIENT CONDITIONS; UPPER AND LOWER BOUNDS;

EID: 84877727677     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (26)

References (21)
  • 1
    • 9444269961 scopus 로고    scopus 로고
    • On the bayes-risk consistency of regularized boosting methods
    • Gábor Lugosi and Nicolas Vayatis. On the bayes-risk consistency of regularized boosting methods. Annals of Statistics, 32(1):30-55, 2004.
    • (2004) Annals of Statistics , vol.32 , Issue.1 , pp. 30-55
    • Lugosi, G.1    Vayatis, N.2
  • 2
    • 26444545593 scopus 로고    scopus 로고
    • Process consistency for AdaBoost
    • Wenxin Jiang. Process consistency for AdaBoost. Annals of Statistics, 32(1):13-29, 2004.
    • (2004) Annals of Statistics , vol.32 , Issue.1 , pp. 13-29
    • Jiang, W.1
  • 3
    • 4644257995 scopus 로고    scopus 로고
    • Statistical behavior and consistency of classification methods based on convex risk minimization
    • Tong Zhang. Statistical behavior and consistency of classification methods based on convex risk minimization. Annals of Statistics, 32(1):56-134, 2004.
    • (2004) Annals of Statistics , vol.32 , Issue.1 , pp. 56-134
    • Zhang, T.1
  • 4
    • 12444265838 scopus 로고    scopus 로고
    • Consistency of support vector machines and other regularized kernel classifiers
    • Ingo Steinwart. Consistency of support vector machines and other regularized kernel classifiers. IEEE Transactions on Information Theory, 51(1):128-142, 2005.
    • (2005) IEEE Transactions on Information Theory , vol.51 , Issue.1 , pp. 128-142
    • Steinwart, I.1
  • 6
    • 26944483874 scopus 로고    scopus 로고
    • Statistical analysis of some multi-category large margin classification methods
    • Tong Zhang. 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
  • 7
    • 34249062309 scopus 로고    scopus 로고
    • On the consistency of multiclass classification methods
    • Ambuj Tewari and Peter Bartlett. On the consistency of multiclass classification methods. Journal of Machine Learning Research, 8:1007-1025, 2007.
    • (2007) Journal of Machine Learning Research , vol.8 , pp. 1007-1025
    • Tewari, A.1    Bartlett, P.2
  • 8
    • 55349114379 scopus 로고    scopus 로고
    • Statistical analysis of Bayes optimal subset ranking
    • David Cossock and Tong Zhang. Statistical analysis of bayes optimal subset ranking. IEEE Transactions on Information Theory, 54(11):5140-5154, 2008.
    • (2008) IEEE Transactions on Information Theory , vol.54 , Issue.11 , pp. 5140-5154
    • Cossock, D.1    Zhang, T.2
  • 15
    • 34547483052 scopus 로고    scopus 로고
    • How to compare different loss functions and their risks
    • Ingo Steinwart. How to compare different loss functions and their risks. Constructive Approximation, 26:225-287, 2007.
    • (2007) Constructive Approximation , vol.26 , pp. 225-287
    • Steinwart, I.1
  • 20
    • 84877728532 scopus 로고    scopus 로고
    • Notes on convex sets, polytopes, polyhedra, combinatorial topology, Voronoi diagrams and Delaunay triangulations
    • University of Pennsylvania
    • Jean Gallier. Notes on convex sets, polytopes, polyhedra, combinatorial topology, Voronoi diagrams and Delaunay triangulations. Technical report, Department of Computer and Information Science, University of Pennsylvania, 2009.
    • (2009) Technical Report, Department of Computer and Information Science
    • Gallier, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.