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Volumn 1, Issue , 2011, Pages 404-410

Mean field inference in dependency networks: An empirical study

Author keywords

[No Author keywords available]

Indexed keywords

CONDITIONAL DISTRIBUTION; CONDITIONAL PROBABILITY DISTRIBUTIONS; DATA SETS; EMPIRICAL STUDIES; GIBBS SAMPLING; JOINT DISTRIBUTIONS; MARKOV BLANKETS; MEAN FIELD; ORDERS OF MAGNITUDE; SAMPLING-BASED; SINGLE VARIABLE;

EID: 80055039817     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (4)

References (19)
  • 1
    • 0000582521 scopus 로고
    • Statistical analysis of non-lattice data
    • Besag, J. 1975. Statistical analysis of non-lattice data. The Statistician 24:179-195.
    • (1975) The Statistician , vol.24 , pp. 179-195
    • Besag, J.1
  • 4
    • 0041919126 scopus 로고    scopus 로고
    • Technical Report MSR-TR-2002-103, Microsoft, Redmond, WA
    • Chickering, D. M. 2002. The WinMine toolkit. Technical Report MSR-TR-2002-103, Microsoft, Redmond, WA.
    • (2002) The WinMine Toolkit
    • Chickering, D.M.1
  • 7
    • 0042138305 scopus 로고    scopus 로고
    • Model-independent mean field theory as a local method for approximate propagation of information
    • Haft, M.; Hofmann, R.; and Tresp, V. 1999. Model-independent mean field theory as a local method for approximate propagation of information. Computation in Neural Systems 10(1):93-105.
    • (1999) Computation in Neural Systems , vol.10 , Issue.1 , pp. 93-105
    • Haft, M.1    Hofmann, R.2    Tresp, V.3
  • 9
    • 34249761849 scopus 로고
    • Learning Bayesian networks: The combination of knowledge and statistical data
    • Heckerman, D.; Geiger, D.; and Chickering, D. M. 1995. Learning Bayesian networks: The combination of knowledge and statistical data. Machine Learning 20:197-243.
    • (1995) Machine Learning , vol.20 , pp. 197-243
    • Heckerman, D.1    Geiger, D.2    Chickering, D.M.3
  • 18
    • 0030120958 scopus 로고    scopus 로고
    • On the hardness of approximate reasoning
    • Roth, D. 1996. On the hardness of approximate reasoning. Artificial Intelligence 82:273-302. (Pubitemid 126374156)
    • (1996) Artificial Intelligence , vol.82 , Issue.1-2 , pp. 273-302
    • Roth, D.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.