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Volumn 2, Issue , 2006, Pages 1449-1456

Studying XCS/BOA learning in boolean functions: Structure encoding and random boolean functions

Author keywords

Bayesian Networks; Learning Classifier Systems; Reinforcement Learning; XCS

Indexed keywords

CLASSIFICATION (OF INFORMATION); ENCODING (SYMBOLS); FUNCTION EVALUATION; HIERARCHICAL SYSTEMS; LEARNING SYSTEMS; MATHEMATICAL OPERATORS; PROBLEM SOLVING;

EID: 33750249654     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (18)

References (31)
  • 1
    • 84949196940 scopus 로고    scopus 로고
    • XCS and GALE: A comparative study of two learning classifier systems and six other learning algorithms on classification tasks
    • P. L. Lanzi, W. Stolzmann, and S. W. Wilson, editors. Springer-Verlag, Berlin Heidelberg
    • E. Bernadó, X. Llorà, and J. M. Garrell. XCS and GALE: A comparative study of two learning classifier systems and six other learning algorithms on classification tasks. In P. L. Lanzi, W. Stolzmann, and S. W. Wilson, editors, Advances in Learning Classifier Systems (LNAI 2321), pages 115-132. Springer-Verlag, Berlin Heidelberg, 2002.
    • (2002) Advances in Learning Classifier Systems (LNAI) , vol.2321 , pp. 115-132
    • Bernadó, E.1    Llorà, X.2    Garrell, J.M.3
  • 2
    • 0043284115 scopus 로고    scopus 로고
    • Accuracy-based learning classifier systems: Models, analysis, and applications to classification tasks
    • E. Bernadó-Mansilla and J. M. Garrell-Guiu. Accuracy-based learning classifier systems: Models, analysis, and applications to classification tasks. Evolutionary Computation, 11:209-238, 2003.
    • (2003) Evolutionary Computation , vol.11 , pp. 209-238
    • Bernadó-Mansilla, E.1    Garrell-Guiu, J.M.2
  • 4
    • 84986166639 scopus 로고    scopus 로고
    • Anticipation for learning, cognition, and education
    • in press
    • M. V. Butz. Anticipation for learning, cognition, and education. On the Horizon, 2004. in press.
    • (2004) On the Horizon
    • Butz, M.V.1
  • 7
    • 27344437190 scopus 로고    scopus 로고
    • Gradient descent methods in learning classifier systems: Improving XCS performance in multistep problems
    • M. V. Butz, D. E. Goldberg, and P. L. Lanzi. Gradient Descent Methods in Learning Classifier Systems: Improving XCS Performance in Multistep Problems. IEEE Transactions on Evolutionary Computation, 9:452- 473, 2004.
    • (2004) IEEE Transactions on Evolutionary Computation , vol.9 , pp. 452-473
    • Butz, M.V.1    Goldberg, D.E.2    Lanzi, P.L.3
  • 8
    • 27144439387 scopus 로고    scopus 로고
    • chapter Computational Complexity of the XCS Classifier System. Studies in Fuzziness and Soft Computing. Springer-Verlag, Berlin Heidelberg
    • M. V. Butz, D. E. Goldberg, and P. L. Lanzi. Foundations of Learning Classifier Systems, chapter Computational Complexity of the XCS Classifier System, pages 91-126. Studies in Fuzziness and Soft Computing. Springer-Verlag, Berlin Heidelberg, 2005.
    • (2005) Foundations of Learning Classifier Systems , pp. 91-126
    • Butz, M.V.1    Goldberg, D.E.2    Lanzi, P.L.3
  • 9
    • 0041780883 scopus 로고    scopus 로고
    • Analysis and improvement of fitness exploitation in XCS: Bounding models, tournament selection, and bilateral accuracy
    • M. V. Butz, D. E. Goldberg, and K. Tharakunnel. Analysis and improvement of fitness exploitation in XCS: Bounding models, tournament selection, and bilateral accuracy. Evolutionary Computation, 11:239-277, 2003.
    • (2003) Evolutionary Computation , vol.11 , pp. 239-277
    • Butz, M.V.1    Goldberg, D.E.2    Tharakunnel, K.3
  • 12
  • 14
    • 0003738581 scopus 로고    scopus 로고
    • Linkage learning via probabilistic modeling in the ECGA
    • Illinois Genetic Algorithms Laboratory, University of Illinois at Urbana-Champaign
    • G. Harik. Linkage learning via probabilistic modeling in the ECGA. IlliGAL report 99010, Illinois Genetic Algorithms Laboratory, University of Illinois at Urbana-Champaign, 1999.
    • (1999) IlliGAL Report 99010
    • Harik, G.1
  • 15
    • 85012775611 scopus 로고
    • Propagating uncertainty in Bayesian networks by probabilistic logic sampling
    • J. F. Lemmer and L. N. Kanal, editors. Elsevier, Amsterdam, London, New York
    • M. Henrion. Propagating uncertainty in Bayesian networks by probabilistic logic sampling. In J. F. Lemmer and L. N. Kanal, editors, Uncertainty in Artificial Intelligence, pages 149-163. Elsevier, Amsterdam, London, New York, 1988.
    • (1988) Uncertainty in Artificial Intelligence , pp. 149-163
    • Henrion, M.1
  • 16
    • 0011656690 scopus 로고
    • Adaptation
    • R. Rosen and F. Snell, editors. Academic Press, New York
    • J. H. Holland. Adaptation. In R. Rosen and F. Snell, editors, Progress in theoretical biology, volume 4, pages 263-293. Academic Press, New York, 1976.
    • (1976) Progress in Theoretical Biology , vol.4 , pp. 263-293
    • Holland, J.H.1
  • 18
    • 0001666176 scopus 로고
    • Cognitive systems based on adaptive algorithms
    • D. A. Waterman and F. Hayes-Roth, editors. Academic Press, New York
    • J. H. Holland and J. S. Reitman. Cognitive systems based on adaptive algorithms. In D. A. Waterman and F. Hayes-Roth, editors, Pattern directed inference systems, pages 313-329. Academic Press, New York, 1978.
    • (1978) Pattern Directed Inference Systems , pp. 313-329
    • Holland, J.H.1    Reitman, J.S.2
  • 19
  • 20
    • 4344693783 scopus 로고    scopus 로고
    • A review on estimation of distribution algorithms
    • P. Larrañaga and J. A. Lozano, editors, chapter 3. Kluwer Academic Publishers, Boston, MA
    • P. Larrañaga. A review on estimation of distribution algorithms. In P. Larrañaga and J. A. Lozano, editors, Estimation of Distribution Algorithms, chapter 3, pages 57-100. Kluwer Academic Publishers, Boston, MA, 2002.
    • (2002) Estimation of Distribution Algorithms , pp. 57-100
    • Larrañaga, P.1
  • 22
    • 84958959530 scopus 로고    scopus 로고
    • From recombination of genes to the estimation of distributions I. Binary parameters
    • H. Mühlenbein and G. Paaß. From recombination of genes to the estimation of distributions I. Binary parameters. Parallel Problem Solving from Nature - PPSN IV, pages 178-187, 1996.
    • (1996) Parallel Problem Solving from Nature - PPSN IV , pp. 178-187
    • Mühlenbein, H.1    Paaß, G.2
  • 23
    • 0004087397 scopus 로고
    • Probabilistic inference using Markov chain Monte Carlo methods
    • Dept. of Computer Science, University of Toronto
    • R. M. Neal. Probabilistic inference using Markov chain Monte Carlo methods. Technical Report CRG-TR-93-1, Dept. of Computer Science, University of Toronto, 1993.
    • (1993) Technical Report , vol.CRG-TR-93-1
    • Neal, R.M.1
  • 28
    • 0001387704 scopus 로고
    • Classifier fitness based on accuracy
    • S. W. Wilson. Classifier fitness based on accuracy. Evolutionary Computation, 3(2):149-175, 1995.
    • (1995) Evolutionary Computation , vol.3 , Issue.2 , pp. 149-175
    • Wilson, S.W.1
  • 30
    • 27144549349 scopus 로고    scopus 로고
    • Classifiers that approximate functions
    • S. W. Wilson. Classifiers that approximate functions. Natural Computing, 1:211-234, 2002.
    • (2002) Natural Computing , vol.1 , pp. 211-234
    • Wilson, S.W.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.