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Volumn , Issue , 2004, Pages 176-180

A method based on genetic algorithms and fuzzy logic to induce bayesian networks

Author keywords

[No Author keywords available]

Indexed keywords

CONSTRAINT THEORY; DATA REDUCTION; FUZZY SETS; GRAPHIC METHODS; INFORMATION ANALYSIS; LEARNING ALGORITHMS; MATHEMATICAL MODELS; TREES (MATHEMATICS);

EID: 14244249746     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (8)

References (11)
  • 2
    • 4243304088 scopus 로고
    • Probabilistic network construction using the minimun description lenght principle
    • Ultrecth University
    • Boukaert, R.R.: Probabilistic network construction using the minimun description lenght principle. Technical Report, Ultrecth University (1994)
    • (1994) Technical Report
    • Boukaert, R.R.1
  • 3
    • 34249832377 scopus 로고
    • A Bayesian method for the induction of probabilistic networks from data
    • Cooper, G.F. and 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
  • 6
    • 0002370418 scopus 로고    scopus 로고
    • A tutorial learning with bayesian networks
    • M. Jordan, (ed.) MIT Press, Cambridge, MA, USA
    • Heckerman D.: A tutorial learning with bayesian networks. Learning in graphical models, M. Jordan, (ed.) MIT Press, Cambridge, MA, USA (1999)
    • (1999) Learning in Graphical Models
    • Heckerman, D.1
  • 7
    • 0001006209 scopus 로고
    • Local computations with probabilities on graphical structures and their application to expert systems
    • Lauritzen, Steffen L. and David J. Spiegelhalter.: Local computations with probabilities on graphical structures and their application to expert systems. In: J. Royal Statistics Society B, 50(2), 157-194 (1988)
    • (1988) J. Royal Statistics Society B , vol.50 , Issue.2 , pp. 157-194
    • Lauritzen, S.L.1    Spiegelhalter, D.J.2
  • 8
    • 0030245966 scopus 로고    scopus 로고
    • Structure learning of Bayesian networks by genetic algorithms: A performance analysis of control parameters
    • USA
    • Larrañaga, P.: Structure Learning of Bayesian Networks by Genetic Algorithms: A Performance Analysis of Control Parameters. IEEE Journal on Pattern Analysis and Machine Intelligence, 18(9), 912-926, USA (1996)
    • (1996) IEEE Journal on Pattern Analysis and Machine Intelligence , vol.18 , Issue.9 , pp. 912-926
    • Larrañaga, P.1
  • 9
    • 9444231147 scopus 로고    scopus 로고
    • Bayes-N: An algorithm for learning bayesian networks from data using local measures of information gain applied to classification problems
    • MICAI 2004: Advances in Artificial Intelligence, Monroy, R.; Arroyo-Figueroa, G.; Sucar, L.E.; Sossa, H. (Eds.) Springer Verlag, Germany
    • Martínez Morales, M., Cruz Ramírez, N., Jímenez Andrade, J.L., and Garza Domínguez, R.: Bayes-N: an algorithm for learning bayesian networks from data using local measures of information gain applied to classification problems. In: MICAI 2004: Advances in Artificial Intelligence, Monroy, R.; Arroyo-Figueroa, G.; Sucar, L.E.; Sossa, H. (Eds.) Lecture Notes in Artificial Intelligence, Vol.2972, Springer Verlag, Germany (2004)
    • (2004) Lecture Notes in Artificial Intelligence , vol.2972
    • Martínez Morales, M.1    Cruz Ramírez, N.2    Jímenez Andrade, J.L.3    Garza Domínguez, R.4
  • 10
    • 0014257343 scopus 로고
    • Social class, parental encouragement, and educational aspirations
    • Sewell, W. and Shah, V. (1968). Social class, parental encouragement, and educational aspirations. American Jouranl of Sociology, 73:559-572.
    • (1968) American Jouranl of Sociology , vol.73 , pp. 559-572
    • Sewell, W.1    Shah, V.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.