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Volumn 1, Issue , 2012, Pages 217-222

Optimized algorithm for learning Bayesian network super-structures

Author keywords

Bayesian networks; Structure learning; Super structure

Indexed keywords

COMPUTATIONAL COSTS; GLOBAL METHODS; HIGH-DIMENSIONAL PROBLEMS; LEARNING BAYESIAN NETWORKS; OPTIMIZED ALGORITHMS; SCALING-UP; STATE-OF-THE-ART METHODS; STRUCTURAL CONSTRAINTS; STRUCTURE-LEARNING; SUPER-STRUCTURES;

EID: 84862219196     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (4)

References (10)
  • 2
    • 76749103392 scopus 로고    scopus 로고
    • Optimal search on clustered structural constraint for learning Bayesian network structure
    • Kojima, K., Perrier, E., Imoto, S., and Miyano, S. (2010). Optimal search on clustered structural constraint for learning bayesian network structure. J. Mach. Learn. Res., 11:285-310.
    • (2010) J. Mach. Learn. Res. , vol.11 , pp. 285-310
    • Kojima, K.1    Perrier, E.2    Imoto, S.3    Miyano, S.4
  • 4
    • 34249931694 scopus 로고    scopus 로고
    • Towards scalable and data efficient learning of Markov boundaries
    • Pena, J. M., Nilsson, R., Bjorkegren, J., and Tegner, J. (2007). Towards scalable and data efficient learning of Markov boundaries. Int. J. Approx. Reasoning, 45(2):211-232.
    • (2007) Int. J. Approx. Reasoning , vol.45 , Issue.2 , pp. 211-232
    • Pena, J.M.1    Nilsson, R.2    Bjorkegren, J.3    Tegner, J.4
  • 5
    • 56349103181 scopus 로고    scopus 로고
    • Finding optimal Bayesian network given a super-structure
    • Perrier, E., Imoto, S., and Miyano, S. (2008). Finding Optimal Bayesian Network Given a Super-Structure. J. Mach. Learn. Res., 9:2251-2286.
    • (2008) J. Mach. Learn. Res. , vol.9 , pp. 2251-2286
    • Perrier, E.1    Imoto, S.2    Miyano, S.3
  • 8
    • 33746035971 scopus 로고    scopus 로고
    • The max-min hill-climbing Bayesian network structure learning algorithm
    • Tsamardinos, I., Brown, L. E., and Aliferis, C. F. (2006). The max-min hill-climbing Bayesian network structure learning algorithm. Mach. Learn., 65(1):31-78.
    • (2006) Mach. Learn. , vol.65 , Issue.1 , pp. 31-78
    • Tsamardinos, I.1    Brown, L.E.2    Aliferis, C.F.3
  • 9
    • 34948816667 scopus 로고    scopus 로고
    • A hybrid Bayesian network learning method for constructing gene networks
    • Wang, M., Chen, Z., and Cloutier, S. (2007). A hybrid Bayesian network learning method for constructing gene networks. Comput. Biol. Chem., 31(5-6):361-372.
    • (2007) Comput. Biol. Chem. , vol.31 , Issue.5-6 , pp. 361-372
    • Wang, M.1    Chen, Z.2    Cloutier, S.3
  • 10
    • 4444383943 scopus 로고    scopus 로고
    • An efficient data mining method for learning Bayesian networks using an evolutionary algorithm-based hybrid approach
    • Wong, M. and Leung, K. (2004). An efficient data mining method for learning Bayesian networks using an evolutionary algorithm-based hybrid approach. IEEE Trans. Evol. Comput., 8(4):378-404.
    • (2004) IEEE Trans. Evol. Comput. , vol.8 , Issue.4 , pp. 378-404
    • Wong, M.1    Leung, K.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.