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Volumn 2711, Issue , 2003, Pages 161-172

Characterization of inclusion neighbourhood in terms of the essential graph: Upper neighbours

Author keywords

[No Author keywords available]

Indexed keywords

BOUNDARY CONDITIONS; FUNCTIONS; LEARNING SYSTEMS; LEAST SQUARES APPROXIMATIONS; PROBLEM SOLVING; SET THEORY; BAYESIAN NETWORKS; C (PROGRAMMING LANGUAGE); CHARACTERIZATION; COMPLEX NETWORKS;

EID: 8344269407     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-45062-7_13     Document Type: Conference Paper
Times cited : (4)

References (16)
  • 1
    • 0031531764 scopus 로고    scopus 로고
    • A characterization of Markov equivalence classes for acyclic digraphs
    • Andersson, S.A., Madigan, D. and Perlman, M.D.: A characterization of Markov equivalence classes for acyclic digraphs. Annals of Statistics 25 (1997) 505-541.
    • (1997) Annals of Statistics , vol.25 , pp. 505-541
    • Andersson, S.A.1    Madigan, D.2    Perlman, M.D.3
  • 2
    • 8344227058 scopus 로고    scopus 로고
    • On the construction of the inclusion boundary neighbourhood for Markov equivalence clases of Bayesian network structures
    • Darwiche, A. and Friedman, N. (eds.):. Morgan Kaufmann, San Francisco
    • Auvray, V. and Wehenkel, L.: On the construction of the inclusion boundary neighbourhood for Markov equivalence clases of Bayesian network structures. In: Darwiche, A. and Friedman, N. (eds.): Uncertainty in Artificial Intelligence 18. Morgan Kaufmann, San Francisco (2002) 26-35.
    • (2002) Uncertainty in Artificial Intelligence , vol.18 , pp. 26-35
    • Auvray, V.1    Wehenkel, L.2
  • 7
    • 0002811779 scopus 로고    scopus 로고
    • Improved learning of Bayesian networks
    • Breese, J. and Koller, D. (eds.):. Morgan Kaufmann, San Francisco
    • Kočka, T. and Castello, R.: Improved learning of Bayesian networks. In: Breese, J. and Koller, D. (eds.): Uncertainty in Artificial Intelligence 17. Morgan Kaufmann, San Francisco (2001) 269-276.
    • (2001) Uncertainty in Artificial Intelligence , vol.17 , pp. 269-276
    • Kočka, T.1    Castello, R.2
  • 11
    • 8344227910 scopus 로고    scopus 로고
    • A unified approach to the characterisation of equivalence classes of DAGs, chain graphs with no flags and chain graphs
    • Technical report, Dipartimento di Scienze Sociali Cognitive e Quantitative, University of Modena and Reggio Emilia, submitted to
    • Rovenato, A.: A unified approach to the characterisation of equivalence classes of DAGs, chain graphs with no flags and chain graphs. Technical report, Dipartimento di Scienze Sociali Cognitive e Quantitative, University of Modena and Reggio Emilia (2003), submitted to Annals of Statistics.
    • (2003) Annals of Statistics
    • Rovenato, A.1
  • 15
    • 8444238074 scopus 로고    scopus 로고
    • Characterization of inclusion neighbourhood in terms of the essential graph: Lower neighbours
    • preparation, to be submitted to
    • Studený, M.: Characterization of inclusion neighbourhood in terms of the essential graph: lower neighbours. In preparation, to be submitted to Proceedings of WUPES 2003.
    • Proceedings of WUPES 2003.
    • Studený, M.1
  • 16
    • 0002095306 scopus 로고
    • Equivalence and synthesis of causal models
    • Bonissone, P.P., Henrion, M., Kanal L.N. and Lemmer, J.F. (eds.): Elsevier, New York
    • Verma, T. and Pearl, J.: Equivalence and synthesis of causal models. In: Bonissone, P.P., Henrion, M., Kanal L.N. and Lemmer, J.F. (eds.): Uncertainty in Artificial Intelligence 6. Elsevier, New York (1991) 220-227.
    • (1991) Uncertainty in Artificial Intelligence , vol.6 , pp. 220-227
    • Verma, T.1    Pearl, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.