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Volumn 3447, Issue , 2005, Pages 38-49

Bayesian Automatic Programming

Author keywords

[No Author keywords available]

Indexed keywords

GENETIC ALGORITHMS; MATHEMATICAL MODELS; PROBABILITY; PROBLEM SOLVING; REGRESSION ANALYSIS;

EID: 24644499066     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-31989-4_4     Document Type: Conference Paper
Times cited : (20)

References (22)
  • 6
    • 32444447432 scopus 로고    scopus 로고
    • Probabilistic model building and competent genetic programming
    • University of Illinois
    • Sastry, K., Goldberg, D.: Probabilistic model building and competent genetic programming. Technical Report 2003013, University of Illinois (2003)
    • (2003) Technical Report 2003013
    • Sastry, K.1    Goldberg, D.2
  • 9
    • 0003654346 scopus 로고    scopus 로고
    • A survey of optimization by building and using probabilistic models
    • Illinois Genetic Algorithms Laboratory, University of Illinois at Urbana-Champaign, Urbana
    • Pelikan, M., Goldberg, D.E., Lobo, F.: A survey of optimization by building and using probabilistic models. Technical Report 99018, Illinois Genetic Algorithms Laboratory, University of Illinois at Urbana-Champaign, Urbana (1999)
    • (1999) Technical Report 99018
    • Pelikan, M.1    Goldberg, D.E.2    Lobo, F.3
  • 10
    • 0003984832 scopus 로고
    • Population-based incremental learning: A method for integrating genetic search based function optimization and competitive learning
    • Carnegie Mellon University
    • Baluja, S.: Population-based incremental learning: A method for integrating genetic search based function optimization and competitive learning. Technical Report CMU-CS-94-163, Carnegie Mellon University (1994)
    • (1994) Technical Report , vol.CMU-CS-94-163
    • Baluja, S.1
  • 11
    • 0003738581 scopus 로고    scopus 로고
    • Linkage learning via probabilistic modeling in the ECGA
    • Illinois Genetic Algorithms Laboratory, University of Illinois, Urbana
    • Harik, G.: Linkage learning via probabilistic modeling in the ECGA. Technical Report 99010, Illinois Genetic Algorithms Laboratory, University of Illinois, Urbana (1999)
    • (1999) Technical Report 99010
    • Harik, G.1
  • 13
    • 0003846041 scopus 로고
    • A tutorial on learning with bayesian networks
    • Microsoft Corporation
    • Heckerman, D.: A tutorial on learning with bayesian networks. Technical Report MSR-TR-95-06, Microsoft Corporation (1995)
    • (1995) Technical Report , vol.MSR-TR-95-06
    • Heckerman, D.1
  • 15
    • 0003846045 scopus 로고
    • Learning bayesian networks: The combination of knowledge and statistical data
    • Microsoft Research
    • Heckerman, D., Geiger, D., Chickering, M.: Learning bayesian networks: The combination of knowledge and statistical data. Technical Report MSR-TR-94-09, Microsoft Research (1994)
    • (1994) Technical Report , vol.MSR-TR-94-09
    • Heckerman, D.1    Geiger, D.2    Chickering, M.3
  • 16
    • 34249832377 scopus 로고
    • A bayesian method for the induction of probabilistic networks from data
    • Cooper, G., Herskovits, E.: A bayesian method for the induction of probabilistic networks from data. Machine Learning 9 (1992) 309-345
    • (1992) Machine Learning , vol.9 , pp. 309-345
    • Cooper, G.1    Herskovits, E.2
  • 18
    • 24644472947 scopus 로고    scopus 로고
    • Generating strings at random from a context free grammar
    • University of Canterbury
    • McKenzie, B.: Generating strings at random from a context free grammar. Technical Report TR-COSC 10/97, University of Canterbury (1997)
    • (1997) Technical Report , vol.TR-COSC 10-97
    • McKenzie, B.1
  • 20
  • 22
    • 0041822908 scopus 로고
    • Analyzing deception in trap functions
    • Illinois Genetic Algorithms Laboratory, University of Illinois, Urbana
    • Deb, K., Goldberg, D.E.: Analyzing deception in trap functions. Technical Report 2002007, Illinois Genetic Algorithms Laboratory, University of Illinois, Urbana (1993)
    • (1993) Technical Report 2002007
    • Deb, K.1    Goldberg, D.E.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.