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Volumn , Issue , 2002, Pages 945-952

Multiclass Learning by Probabilistic Embeddings

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMIC FRAMEWORK; COMMON SPACES; EMBEDDINGS; ERROR-CORRECTING OUTPUT CODES; GENERALISATION; LABELED DATA; MULTI-CLASS CATEGORIZATION; MULTI-CLASS LEARNING; PROBABILISTIC OUTPUT; PROBABILISTICS;

EID: 85156231916     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (28)

References (11)
  • 2
    • 0036643072 scopus 로고    scopus 로고
    • Logistic regression, adaboost and bregman distances
    • (/3)
    • Michael Collins, Robert E. Schapire, and Yoram Singer. Logistic regression, adaboost and bregman distances. Machine Learning, 47(2/3):253-285, 2002.
    • (2002) Machine Learning , vol.47 , Issue.2 , pp. 253-285
    • Collins, Michael1    Schapire, Robert E.2    Singer, Yoram3
  • 7
    • 0008815681 scopus 로고    scopus 로고
    • Additive versus exponentiated gradient updates for linear prediction
    • January
    • Jyrki Kivinen and Manfred K. Warmuth. Additive versus exponentiated gradient updates for linear prediction. Information and Computation, 132(1):1-64, January 1997.
    • (1997) Information and Computation , vol.132 , Issue.1 , pp. 1-64
    • Kivinen, Jyrki1    Warmuth, Manfred K.2
  • 10
    • 0025490985 scopus 로고
    • Networks for approximation and learning
    • T. Poggio and F. Girosi. Networks for approximation and learning. Proc. of IEEE, 78(9), 1990.
    • (1990) Proc. of IEEE , vol.78 , Issue.9
    • Poggio, T.1    Girosi, F.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.