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Volumn 4456 LNAI, Issue , 2007, Pages 288-297

Two evolutionary methods for learning bayesian network structures

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN NETWORKS; CONVERGENCE OF NUMERICAL METHODS; DATABASE SYSTEMS; LEARNING ALGORITHMS; TABU SEARCH;

EID: 38349009317     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-74377-4_31     Document Type: Conference Paper
Times cited : (8)

References (22)
  • 1
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    • Learning Bayesian Networks is NP-hard
    • Technical Report MSR-TR-94-17, Microsoft Research November
    • Chickering, D.M., Geiger, D., Heckerman, D.: Learning Bayesian Networks is NP-hard. Technical Report MSR-TR-94-17, Microsoft Research (November 1994)
    • (1994)
    • Chickering, D.M.1    Geiger, D.2    Heckerman, D.3
  • 2
    • 34249832377 scopus 로고    scopus 로고
    • Cooper, G., Herskovits, E.: A Bayesian method for the Induction of Probabilistic Networks from Data. Machine Learning 09, 309-347 (1992)
    • Cooper, G., Herskovits, E.: A Bayesian method for the Induction of Probabilistic Networks from Data. Machine Learning 09, 309-347 (1992)
  • 5
    • 0042967741 scopus 로고    scopus 로고
    • Optimal Structure Identification with Greedy Search
    • Chickering, D.M.: Optimal Structure Identification with Greedy Search. Journal of Machine Learning Research 3, 507-554 (2002)
    • (2002) Journal of Machine Learning Research , vol.3 , pp. 507-554
    • Chickering, D.M.1
  • 8
    • 0030245966 scopus 로고    scopus 로고
    • Structure Learning of Bayesian Networks by Genetic Algorithms: A Performance Analysis of Control Parameters
    • Larranaga, P., Poza, M., Yurramendi, Y., Murga, R., Kuijpers, C.: Structure Learning of Bayesian Networks by Genetic Algorithms: A Performance Analysis of Control Parameters. IEEE Trans (PAMI) 18(9), 912-926 (1996)
    • (1996) IEEE Trans (PAMI) , vol.18 , Issue.9 , pp. 912-926
    • Larranaga, P.1    Poza, M.2    Yurramendi, Y.3    Murga, R.4    Kuijpers, C.5
  • 10
    • 0033076357 scopus 로고    scopus 로고
    • Using Pvolutionary Programming and Minimum Description Length Principle for Data Mining of Bayesian networks
    • Wong, M., Lam, W., Leung, K.: Using Pvolutionary Programming and Minimum Description Length Principle for Data Mining of Bayesian networks. IEEE Trans (PAMI) 21(2), 174-178 (1999)
    • (1999) IEEE Trans (PAMI) , vol.21 , Issue.2 , pp. 174-178
    • Wong, M.1    Lam, W.2    Leung, K.3
  • 15
    • 21244484641 scopus 로고    scopus 로고
    • Silvia Acid, S., de Campos, L.M.: Searching for Bayesian Network Structures in the Space of Restricted Acyclic Partially Directed Graphs. Journal of Artificial Intelligence Research 18, 445-490 (2003)
    • Silvia Acid, S., de Campos, L.M.: Searching for Bayesian Network Structures in the Space of Restricted Acyclic Partially Directed Graphs. Journal of Artificial Intelligence Research 18, 445-490 (2003)
  • 17
    • 0003846041 scopus 로고
    • A Tutorial on Learning Bayesian Networks
    • Technical Report MSRTR-95-06, Microsoft Research March
    • Heckerman, D.: A Tutorial on Learning Bayesian Networks. Technical Report MSRTR-95-06, Microsoft Research (March (1995)
    • (1995)
    • Heckerman, D.1
  • 18
    • 84933530882 scopus 로고
    • Approximating Discrete Probability Distributions with Dependence Trees
    • Chow, C.K., Liu, C.N.: Approximating Discrete Probability Distributions with Dependence Trees. IEEE Trans, on Information Theory 14(3), 462-467 (1968)
    • (1968) IEEE Trans, on Information Theory , vol.14 , Issue.3 , pp. 462-467
    • Chow, C.K.1    Liu, C.N.2
  • 19
    • 0042496103 scopus 로고    scopus 로고
    • Learning equivalence classes of Bayesian-network structures
    • Chickering, D.M.: Learning equivalence classes of Bayesian-network structures. Journal of Machine Learning Research 2, 445-498 (2002)
    • (2002) Journal of Machine Learning Research , vol.2 , pp. 445-498
    • Chickering, D.M.1
  • 22
    • 38349076714 scopus 로고    scopus 로고
    • Adaptive mutation Rate Control Schemes in Genetic Algorithms
    • Technical Report UU-CS-2002-056, Institute of Information and Computing Sciences, Utrecht University
    • Thierens, D.: Adaptive mutation Rate Control Schemes in Genetic Algorithms. In: Technical Report UU-CS-2002-056, Institute of Information and Computing Sciences, Utrecht University (2002)
    • (2002)
    • Thierens, D.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.