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Volumn 67 LNEE, Issue , 2010, Pages 819-827

Study on factors of floating women's income in Jiangsu province based on bayesian networks

Author keywords

Bayesian networks; Floating women; Learning algorithms; Network Scores

Indexed keywords

FLOATING WOMEN; JIANGSU PROVINCE; LEARNING BAYESIAN NETWORKS; PRELIMINARY DATA; REAL PROBLEMS; SOCIAL PROBLEMS;

EID: 84867394198     PISSN: 18761100     EISSN: 18761119     Source Type: Book Series    
DOI: 10.1007/978-3-642-12990-2_95     Document Type: Conference Paper
Times cited : (3)

References (12)
  • 1
    • 34249832377 scopus 로고
    • A bayesian method for the induction of probabilistic networks from data
    • Cooper, G.F., Herskovits, E.: 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
  • 2
    • 0028482006 scopus 로고
    • Learning bayesian belief networks: An approach based on the MDL principle
    • Lam, W., Bacchus, F.: Learning bayesian belief networks: an approach based on the MDL principle. Computational Intelligence 10, 269-293 (1994)
    • (1994) Computational Intelligence , vol.10 , pp. 269-293
    • Lam, W.1    Bacchus, F.2
  • 3
    • 84867395107 scopus 로고    scopus 로고
    • Learning bayesian networks with the bnlearn package
    • submitted for publication
    • Scutari, M.: Learning bayesian networks with the bnlearn package. Journal of Statistical Software (2009) (submitted for publication)
    • (2009) Journal of Statistical Software
    • Scutari, M.1
  • 4
    • 33746035971 scopus 로고    scopus 로고
    • The max-min hill-climbing bayesian network structure learning algorithm
    • Tsamardinos, I., Brown, L.E., Aliferis, C.F.: The max-min hill-climbing bayesian network structure learning algorithm. Machine Learning 65, 31-78 (2006)
    • (2006) Machine Learning , vol.65 , pp. 31-78
    • Tsamardinos, I.1    Brown, L.E.2    Aliferis, C.F.3
  • 7
    • 34249761849 scopus 로고
    • Learning bayesian networks: The combination of knowledge and statistical data
    • Heckerman, D., Geiger, D., Chickering, D.M.: 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
  • 8
    • 34347345603 scopus 로고    scopus 로고
    • Ph.D. thesis, School of Computer Science, Carnegie-Mellon University, Pittsburgh, PA. Available as Technical Report CMU-CS-03-153
    • Margaritis, D.: Learning Bayesian Network Model Structure from Data. Ph.D. thesis, School of Computer Science, Carnegie-Mellon University, Pittsburgh, PA. Available as Technical Report CMU-CS-03-153 (2003)
    • (2003) Learning Bayesian Network Model Structure from Data
    • Margaritis, D.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.