메뉴 건너뛰기




Volumn 1, Issue , 2012, Pages 548-556

A conditional multinomial mixture model for superset label learning

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION PREDICTION; EXPERIMENTAL TEST; MIXTURE COMPONENTS; MULTINOMIAL DISTRIBUTIONS; MULTINOMIAL MIXTURE MODELS; MULTINOMIAL MODEL; PROBABILISTIC MODELS; REAL-WORLD PROBLEM;

EID: 84877750042     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (225)

References (16)
  • 2
    • 84866012143 scopus 로고    scopus 로고
    • Rank-loss support instance machines for MIML instance annotation
    • F. Briggs & X. F. Fern & R. Raich. Rank-Loss Support Instance Machines for MIML Instance Annotation. In proc. KDD, 2012.
    • (2012) Proc. KDD
    • Briggs, F.1    Fern, X.F.2    Raich, R.3
  • 7
    • 0037784181 scopus 로고    scopus 로고
    • Logistic regression for partial labels
    • Y. Grandvalet. Logistic Regression for Partial Labels. In Proc. IPMU, 2002.
    • (2002) Proc. IPMU
    • Grandvalet, Y.1
  • 9
    • 85162034192 scopus 로고    scopus 로고
    • Learning from candidate labeling sets
    • L. Jie & F. Orabona. Learning from Candidate Labeling Sets. In Proc. NIPS, 2010.
    • (2010) Proc. NIPS
    • Jie, L.1    Orabona, F.2
  • 10
  • 12
    • 65449122438 scopus 로고    scopus 로고
    • Classification with partial labels
    • N. Nguyen & R. Caruana. Classification with Partial Labels. In Proc. KDD, 2008.
    • (2008) Proc. KDD
    • Nguyen, N.1    Caruana, R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.