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Volumn , Issue , 2010, Pages 84-89

Multi-class classification using a new sigmoid loss function for Minimum Classification Error (MCE)

Author keywords

Bayes risk; Component; Minimum classification error; Savage loss; Sigmoid loss

Indexed keywords

BAYES RISK; COMPONENT; MINIMUM CLASSIFICATION ERROR; SAVAGE LOSS; SIGMOID LOSS;

EID: 79952402521     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICMLA.2010.20     Document Type: Conference Paper
Times cited : (6)

References (12)
  • 2
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    • On the consistency of multiclass classification methods
    • A. Tewari, P.L Bartlett, "On the Consistency of Multiclass Classification Methods", Journal of Machine Learning Research 8 (2007) 1007-1025. (Pubitemid 46798410)
    • (2007) Journal of Machine Learning Research , vol.8 , pp. 1007-1025
    • Tewari, A.1    Bartlett, P.L.2
  • 3
    • 77956005954 scopus 로고    scopus 로고
    • On the Design of Loss Functions for Classification: Theory, robustness to outliers, and SavageBoost
    • H. Masnadi-Shirazi, N. Vasconcelos, "On the Design of Loss Functions for Classification : theory, robustness to outliers, and SavageBoost", Advances NIPS, 2008
    • (2008) Advances NIPS
    • Masnadi-Shirazi, H.1    Vasconcelos, N.2
  • 5
    • 79952395488 scopus 로고    scopus 로고
    • Minimum Classification Error Via a Parzen Window Based Estimate of the Theoretical Bayes Classification Risk
    • E. McDermott and S. Katagiri, "Minimum Classification Error Via a Parzen Window Based Estimate of the Theoretical Bayes Classification Risk" Proc. ICSLP, 2002.
    • Proc. ICSLP, 2002
    • McDermott, E.1    Katagiri, S.2
  • 7
    • 47749150672 scopus 로고    scopus 로고
    • Large-Margin Discriminative Training of Hidden Markov Models for Speech recognition
    • IEEE
    • D. Yu and L. Deng, "Large-Margin Discriminative Training of Hidden Markov Models for Speech recognition", International Conference on Semantic Computing, IEEE 2007.
    • (2007) International Conference on Semantic Computing
    • Yu, D.1    Deng, L.2
  • 10
    • 0038669544 scopus 로고    scopus 로고
    • The Aurora Experimental Framework for the Performance Evaluation of Speech Recognition Systems under Noisy Conditions
    • "Automatic Speech Recognition: Challenges for the next Millennium",Paris, France, Sep. 18-20
    • H-G Hirsch, D. Pearce, "The Aurora Experimental Framework For The Performance Evaluation of Speech Recognition Systems Under Noisy Conditions", ISCA ITRW ASR 2000, "Automatic Speech Recognition: Challenges for the Next Millennium",Paris, France, Sep. 18-20, 2000.
    • (2000) ISCA ITRW ASR 2000
    • Hirsch, H.-G.1    Pearce, D.2
  • 12
    • 27144489164 scopus 로고    scopus 로고
    • A Tutorial on Support Vector Machines for Pattern Recognition
    • J. C. Burges,"A Tutorial on Support Vector Machines for Pattern Recognition", Data Mining and Knowledge Discovery, 2(2), 121-167.
    • Data Mining and Knowledge Discovery , vol.2 , Issue.2 , pp. 121-167
    • Burges, J.C.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.