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Volumn 1447, Issue , 1998, Pages 547-556

Genetic algorithms for belief network inference: The role of scaling and niching

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN NETWORKS; COMPUTER PROGRAMMING; DISTRIBUTION FUNCTIONS; GENETIC ALGORITHMS;

EID: 84894937118     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/bfb0040806     Document Type: Conference Paper
Times cited : (4)

References (18)
  • 2
    • 84958949201 scopus 로고    scopus 로고
    • Every niching method has its niche: Fitness sharing and implicit sharing compared
    • New York, NY, Springer
    • P. Darwen and X. Yao. Every niching method has its niche: Fitness sharing and implicit sharing compared. In Proc. Parallel Problem Solving from Nature - PPSN IV, pages 398-407, New York, NY, 1996. Springer.
    • (1996) Proc. Parallel Problem Solving from Nature - PPSN IV , pp. 398-407
    • Darwen, P.1    Yao, X.2
  • 4
    • 0002284602 scopus 로고
    • An investigation of niche and species-formation in genetic function optimization
    • J. D. Schaffer, editor, San Mateo, CA, Morgan Kaufman
    • K. Deb and D. E. Goldberg. An investigation of niche and species-formation in genetic function optimization. In J. D. Schaffer, editor, Proceedings of the Third International Conference on Genetic Algorithms, San Mateo, CA, 1989. Morgan Kaufman.
    • (1989) Proceedings of the Third International Conference on Genetic Algorithms
    • Deb, K.1    Goldberg, D.E.2
  • 5
    • 0001698338 scopus 로고
    • Abductive reasoning in Bayesian belief networks using a genetic algorithm
    • E. S. Gelsema. Abductive reasoning in Bayesian belief networks using a genetic algorithm. Pattern Recognition Letters, 16:865-871, 1995.
    • (1995) Pattern Recognition Letters , vol.16 , pp. 865-871
    • Gelsema, E.S.1
  • 11
    • 0031365478 scopus 로고    scopus 로고
    • Belief network inference in dynamic environments
    • Providence, RI
    • O. J. Mengshoel. Belief network inference in dynamic environments. In Proc. of AAAI-97, page 813, Providence, RI, 1997.
    • (1997) Proc. of AAAI-97 , pp. 813
    • Mengshoel, O.J.1
  • 13
    • 84886783376 scopus 로고    scopus 로고
    • Abstraction for belief revision: Using a genetic algorithm to compute the most probable explanation
    • Stanford University, CA, March
    • O. J. Mengshoel and D. C. Wilkins. Abstraction for belief revision: Using a genetic algorithm to compute the most probable explanation. In Proc. 1998 AAAI Spring Symposium on Satisficing Models, pages 46-53, Stanford University, CA, March 1998.
    • (1998) Proc. 1998 AAAI Spring Symposium on Satisficing Models , pp. 46-53
    • Mengshoel, O.J.1    Wilkins, D.C.2
  • 15
    • 0006221889 scopus 로고    scopus 로고
    • An evolutionary computing approach to probabilistic reasoning on Bayesian networks
    • C. Rojas-Guzman and M. A. Kramer. An evolutionary computing approach to probabilistic reasoning on Bayesian networks. Evolutionary Computation, 4(1):57-85, 1996.
    • (1996) Evolutionary Computation , vol.4 , Issue.1 , pp. 57-85
    • Rojas-Guzman, C.1    Kramer, M.A.2
  • 16
    • 0028483915 scopus 로고
    • Finding MAPs for belief networks is NP-hard
    • E. Shimony. Finding MAPs for belief networks is NP-hard. Artificial Intelligence, 68:399-410, 1994.
    • (1994) Artificial Intelligence , vol.68 , pp. 399-410
    • Shimony, E.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.