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Volumn , Issue , 2009, Pages 436-443

Exact structure discovery in Bayesian networks with less space

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; STRUCTURAL OPTIMIZATION;

EID: 80051621069     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (44)

References (17)
  • 2
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    • R. Bellman. Dynamic programming treatment of the travelling salesman problem. J. Assoc. Comput. Mach., 9: 61-63, 1962.
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    • Bellman, R.1
  • 3
    • 50849086130 scopus 로고    scopus 로고
    • Exact algorithms for exact satisfiability and number of perfect matchings
    • A. Björklund and T. Husfeldt. Exact algorithms for exact satisfiability and number of perfect matchings. Algorithmica, 52:226-249, 2008.
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    • Björklund, A.1    Husfeldt, T.2
  • 5
    • 34249832377 scopus 로고
    • A Bayesian method for the induction of probabilistic networks from data
    • G. F. Cooper and E. Herskovits. A Bayesian method for the induction of probabilistic networks from data. Machine Learning, 9:309-347, 1992.
    • (1992) Machine Learning , vol.9 , pp. 309-347
    • Cooper, G.F.1    Herskovits, E.2
  • 7
    • 0037262841 scopus 로고    scopus 로고
    • Being Bayesian about network structure: A Bayesian approach to structure discovery in Bayesian networks
    • N. Friedman and D. Koller. Being Bayesian about network structure: A Bayesian approach to structure discovery in Bayesian networks. Machine Learning, 50(1-2):95-125, 2003.
    • (2003) Machine Learning , vol.50 , Issue.1-2 , pp. 95-125
    • Friedman, N.1    Koller, D.2
  • 8
    • 0023363216 scopus 로고
    • Expected computation time for Hamiltonian path problem
    • Y. Gurevich and S. Shelah. Expected computation time for Hamiltonian path problem. SIAM J. Comput., 16: 486-502, 1987. (Pubitemid 17583640)
    • (1987) SIAM Journal on Computing , vol.16 , Issue.3 , pp. 486-502
    • Gurevich Yuri1    Shelah Saharon2
  • 9
    • 34249761849 scopus 로고
    • Learning Bayesian networks: The combination of knowledge and statistical data
    • D. Heckerman, D. Geiger, and D. M. Chickering. Learning Bayesian networks: The combination of knowledge and statistical data. Machine Learning, 20:197-243, 1995.
    • (1995) Machine Learning , vol.20 , pp. 197-243
    • Heckerman, D.1    Geiger, D.2    Chickering, D.M.3
  • 10
    • 0000460052 scopus 로고
    • A dynamic programming approach to sequencing problems
    • M. Held and R. Karp. A dynamic programming approach to sequencing problems. J. Soc. Indust. Appl. Math., (10):196-210, 1962.
    • (1962) J. Soc. Indust. Appl. Math. , vol.10 , pp. 196-210
    • Held, M.1    Karp, R.2
  • 12
    • 31844439894 scopus 로고    scopus 로고
    • Exact bayesian structure discovery in bayesian networks
    • M. Koivisto and K. Sood. Exact Bayesian structure discovery in Bayesian networks. Journal of Machine Learning Research, 5:549-573, 2004.
    • (2004) Journal of Machine Learning Research , vol.5 , pp. 549-573
    • Koivisto, M.1    Sood, K.2
  • 13
    • 0001261523 scopus 로고
    • A comment on minimum feedback arc sets
    • E. Lawler. A comment on minimum feedback arc sets. IEEE Trans. on Circuit Theory, pages 296-297, 1964.
    • (1964) IEEE Trans. on Circuit Theory , pp. 296-297
    • Lawler, E.1
  • 14
    • 13444275705 scopus 로고    scopus 로고
    • Finding optimal gene networks using biological constraints
    • S. Ott and S. Miyano. Finding optimal gene networks using biological constraints. Genome Informatics, (14):124-133, 2003.
    • (2003) Genome Informatics , vol.14 , pp. 124-133
    • Ott, S.1    Miyano, S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.