Extracted global structure makes local building block processing effective in XCS
暂无分享,去创建一个
Martin V. Butz | Xavier Llorà | David E. Goldberg | Martin Pelikan | D. Goldberg | M. Pelikán | Martin Volker Butz | Xavier Llorà
[1] Herbert A. Simon,et al. The Sciences of the Artificial , 1970 .
[2] Herbert A. Simon,et al. The Sciences of the Artificial , 1970 .
[3] John H. Holland,et al. Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .
[4] John H. Holland,et al. Cognitive systems based on adaptive algorithms , 1977, SGAR.
[5] G. Schwarz. Estimating the Dimension of a Model , 1978 .
[6] John H. Holland,et al. COGNITIVE SYSTEMS BASED ON ADAPTIVE ALGORITHMS1 , 1978 .
[7] Donald A. Waterman,et al. Pattern-Directed Inference Systems , 1981, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[8] Max Henrion,et al. Propagating uncertainty in bayesian networks by probabilistic logic sampling , 1986, UAI.
[9] Ronald A. Howard,et al. Readings on the Principles and Applications of Decision Analysis , 1989 .
[10] E. Reed. The Ecological Approach to Visual Perception , 1989 .
[11] Judea Pearl,et al. Probabilistic reasoning in intelligent systems - networks of plausible inference , 1991, Morgan Kaufmann series in representation and reasoning.
[12] D.E. Goldberg,et al. Classifier Systems and Genetic Algorithms , 1989, Artif. Intell..
[13] Wray L. Buntine. Theory Refinement on Bayesian Networks , 1991, UAI.
[14] Kenneth A. De Jong,et al. Learning Concept Classification Rules Using Genetic Algorithms , 1991, IJCAI.
[15] Gregory F. Cooper,et al. A Bayesian Method for the Induction of Probabilistic Networks from Data , 1992 .
[16] Stewart W. Wilson. Classifier Fitness Based on Accuracy , 1995, Evolutionary Computation.
[17] Thomas G. Dietterich. What is machine learning? , 2020, Archives of Disease in Childhood.
[18] H. Mühlenbein,et al. From Recombination of Genes to the Estimation of Distributions I. Binary Parameters , 1996, PPSN.
[19] Jordan B. Pollack,et al. Modeling Building-Block Interdependency , 1998, PPSN.
[20] Stewart W. Wilson. Generalization in the XCS Classifier System , 1998 .
[21] Pier Luca Lanzi,et al. An Analysis of Generalization in the XCS Classifier System , 1999, Evolutionary Computation.
[22] Fernando G. Lobo,et al. Extended Compact Genetic Algorithm in C , 1999 .
[23] D. Goldberg,et al. BOA: the Bayesian optimization algorithm , 1999 .
[24] T. Kovacs. Deletion schemes for classifier systems , 1999 .
[25] Stewart W. Wilson. Get Real! XCS with Continuous-Valued Inputs , 1999, Learning Classifier Systems.
[26] G. Harik. Linkage Learning via Probabilistic Modeling in the ECGA , 1999 .
[27] Pedro Larrañaga,et al. Optimization in Continuous Domains by Learning and Simulation of Gaussian Networks , 2000 .
[28] Stewart W. Wilson. Mining Oblique Data with XCS , 2000, IWLCS.
[29] J. A. Lozano,et al. Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation , 2001 .
[30] David E. Goldberg,et al. Bayesian optimization algorithm, decision graphs, and Occam's razor , 2001 .
[31] Pedro Larrañaga,et al. Estimation of Distribution Algorithms , 2002, Genetic Algorithms and Evolutionary Computation.
[32] David E. Goldberg,et al. Bayesian Optimization Algorithm: From Single Level to Hierarchy , 2002 .
[33] Pedro Larrañaga,et al. A Review on Estimation of Distribution Algorithms , 2002, Estimation of Distribution Algorithms.
[34] David E. Goldberg,et al. The Design of Innovation: Lessons from and for Competent Genetic Algorithms , 2002 .
[35] David E. Goldberg,et al. A Survey of Optimization by Building and Using Probabilistic Models , 2002, Comput. Optim. Appl..
[36] David E. Goldberg,et al. Getting the best of both worlds: Discrete and continuous genetic and evolutionary algorithms in concert , 2003, Inf. Sci..
[37] Martin V. Butz,et al. Analysis and Improvement of Fitness Exploitation in XCS: Bounding Models, Tournament Selection, and Bilateral Accuracy , 2003, Evolutionary Computation.
[38] Martin Pelikan,et al. Hierarchical Bayesian optimization algorithm: toward a new generation of evolutionary algorithms , 2010, SICE 2003 Annual Conference (IEEE Cat. No.03TH8734).
[39] Martin V. Butz,et al. Tournament Selection: Stable Fitness Pressure in XCS , 2003, GECCO.
[40] Ivo Everts,et al. Extended Compact Genetic Algorithm , 2004 .
[41] David E. Goldberg,et al. Real-Coded Bayesian Optimization Algorithm: Bringing the Strength of BOA into the Continuous World , 2004, GECCO.
[42] David Maxwell Chickering,et al. Learning Bayesian Networks: The Combination of Knowledge and Statistical Data , 1994, Machine Learning.
[43] Martin V. Butz,et al. Toward a theory of generalization and learning in XCS , 2004, IEEE Transactions on Evolutionary Computation.
[44] Martin V. Butz,et al. Rule-Based Evolutionary Online Learning Systems: Learning Bounds, Classification, and Prediction , 2004 .
[45] D. Goldberg,et al. Bounding Learning Time in XCS , 2004, GECCO.
[46] Martin Pelikan,et al. Bayesian Optimization Algorithm , 2005 .
[47] Ronald A. Howard,et al. Influence Diagrams , 2005, Decis. Anal..