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Volumn , Issue , 2008, Pages

Agreement-based learning

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATE INFERENCE; HIDDEN VARIABLE; LEARNING TASKS; OBJECTIVE FUNCTIONS; PARAMETERS ESTIMATION; PROBABILISTIC MODELS; REAL-WORLD LEARNING; SUBMODELS; TRADITIONAL APPROACHES;

EID: 85162017703     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (28)

References (12)
  • 1
    • 0000582521 scopus 로고
    • The analysis of non-lattice data
    • J. Besag. The analysis of non-lattice data. The Statistician, 24:179-195, 1975.
    • (1975) The Statistician , vol.24 , pp. 179-195
    • Besag, J.1
  • 7
    • 0001915899 scopus 로고
    • Composite likelihood methods
    • B. Lindsay. Composite likelihood methods. Contemporary Mathematics, 80:221-239, 1988.
    • (1988) Contemporary Mathematics , vol.80 , pp. 221-239
    • Lindsay, B.1
  • 9
    • 1542537849 scopus 로고    scopus 로고
    • Combining phylogenetic and hidden Markov models in biosequence analysis
    • DOI 10.1089/1066527041410472
    • A. Siepel and D. Haussler. Combining phylogenetic and hidden Markov models in biosequence analysis. Journal of Computational Biology, 11:413-428, 2004. (Pubitemid 38901670)
    • (2004) Journal of Computational Biology , vol.11 , Issue.2-3 , pp. 413-428
    • Siepel, A.1    Haussler, D.2
  • 12
    • 4043152487 scopus 로고    scopus 로고
    • Graphical models, exponential families, and variational inference
    • University of California at Berkeley
    • M. Wainwright and M. I. Jordan. Graphical models, exponential families, and variational inference. Technical report, Department of Statistics, University of California at Berkeley, 2003.
    • (2003) Technical Report, Department of Statistics
    • Wainwright, M.1    Jordan, M.I.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.