메뉴 건너뛰기




Volumn , Issue , 2005, Pages 233-242

Maximum margin Bayesian networks

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; CONSTRAINED OPTIMIZATION; GRAPHIC METHODS; LEARNING SYSTEMS; MARKOV PROCESSES; TOPOLOGY;

EID: 55649114611     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (25)

References (20)
  • 6
    • 84964085441 scopus 로고    scopus 로고
    • On the algorithmic interpretation of multiclass kernel-based vector machines
    • Crammer, K., & Singer, Y. (2001). On the algorithmic interpretation of multiclass kernel-based vector machines. Journal of Machine Learning Research, 2.
    • (2001) Journal of Machine Learning Research , vol.2
    • Crammer, K.1    Singer, Y.2
  • 7
    • 0033106244 scopus 로고    scopus 로고
    • Evaluation and improvement of multiple sequence methods for protein secondary structure prediction
    • DOI 10.1002/(SI CI)1097-0134(199 90301)34:4<50 8::AID-PROT 10>3.0.CO;2-4
    • Cuff, J., & Barton, G. (1999). Evaluation and improvement of multiple sequence methods for protein secondary structure prediction. Proteins: Structure, Function and Genetics, 34, 508-519. www.compbio.dundee.ac.uk/fiwww- jpred/data. (Pubitemid 29129701)
    • (1999) Proteins: Structure, Function and Genetics , vol.34 , Issue.4 , pp. 508-519
    • Cuff, J.A.1    Barton, G.J.2
  • 8
    • 0031276011 scopus 로고    scopus 로고
    • Bayesian network classifiers
    • Friedman, N., Geiger, D., & Goldszmidt, M. (1997). Bayesian network classifiers. Machine Learning, 29, 131-163. (Pubitemid 127510036)
    • (1997) Machine Learning , vol.29 , Issue.2-3 , pp. 131-163
    • Friedman, N.1    Geiger, D.2    Goldszmidt, M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.