Data mining using grammar based genetic programming and applications man leung wong kwong sak leung. Automatic Quantum Computer Programming 2019-01-27

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Genetic Programming Bibliography entries for Man Leung Wong

data mining using grammar based genetic programming and applications man leung wong kwong sak leung

Using Grammar Based Genetic Programming for Data Mining of Medical Knowledge. Inducing logic programs with genetic algorithms: the Genetic Logic Programming System. Financial Fraud Detection by using Grammar-based Multi-objective Genetic Programming with ensemble learning. Genetic Programming and Evolvable Machines, 13 1 :69-70, 2012. Tettamanzi Springer, Kinsale, 2002 , pp. Credit Screening Problem 117 -- 6. This book first sets the necessary backgrounds for the reader, including an overview of data mining, evolutionary algorithms and inductive logic programming.

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Data Mining Using Grammar Based Genetic Programming and Applications

data mining using grammar based genetic programming and applications man leung wong kwong sak leung

Representing Decision Trees as S-expressions 115 -- 6. Artificial Intelligent in Medicine, 16 1 :73-96, 1999. Experimental Results on the Monk Database 156 -- Chapter 8 Medical Data Mining 161 -- 8. An Induction System that Learns Programs in different Programming Languages using Genetic Programming and Logic Grammars. Sebag, Avoiding the bloat with probabilistic grammar-guided genetic programming. The International Institute for Advanced Studies in Systems Research and Cybernetic, Ontario, Canada, 1994.

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Data Mining Using Grammar Based Genetic Programming and Applications 2002nd Edition

data mining using grammar based genetic programming and applications man leung wong kwong sak leung

Grammar-Based Genetic Programming with Bayesian Network. In and and and Manuel Lopez-Ibanez and and editors, 14th International Conference on Parallel Problem Solving from Nature, volume 9921, pages 270-280, Edinburgh, 2016. Applying Adaptive Grammar Based Genetic Programming in Evolving Recursive Programs. Crossover of Programs 81 -- 5. Karpuzcu, Automatic verilog code generation through grammatical evolution. Future Work 172 -- Appendix A Rule Sets Discovered 177 -- A.

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Data Mining Using Grammar Based Genetic Programming and Applications

data mining using grammar based genetic programming and applications man leung wong kwong sak leung

Combining Genetic Programming and Inductive Logic Programming using Logic Grammars. Digital Library Federation, December 2002. Schwefel Springer, Paris, 2000 , pp. Best Rule Set Learned from the Iris Database 177 -- A. Essam, Program evolution with explicit learning: a new framework for program automatic synthesis. In Proceedings of the Fourth Congress of the Italian Association for Artificial Intelligence, 1995. Genetic Programming and Evolvable Machines, 6 4 :421-455, 2005.

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Data mining using grammar based genetic programming and applications (eBook, 2000) [blueshirtsunited.com]

data mining using grammar based genetic programming and applications man leung wong kwong sak leung

Best Rule Set Learned from the Scoliosis Database 189 -- A. Genet Program Evolvable Mach 2010 11: 365. Learning Programs in Different Paradigms using Genetic Programming. In and and and and and and and and and and and Tobias Glasmachers and and and and and and and and and and Pedro Larranaga and and Gabriel Luque and and and and and and Konstantinos E. Learning Multiple Rules From Data 145 -- 7.

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Genetic Programming Bibliography entries for Man Leung Wong

data mining using grammar based genetic programming and applications man leung wong kwong sak leung

Rules About Treatment 166 -- Chapter 9 Conclusion and Future Work 169 -- 9. Deterministic Crowding 147 -- 7. Setup of Experiments 128 -- 6. Inversion and Reordering 39 -- 3. Tyrrell Springer, Seattle, 2004 , pp.

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Genetic Programming Bibliography entries for Man Leung Wong

data mining using grammar based genetic programming and applications man leung wong kwong sak leung

Ficici and and and and William R. An adaptive Inductive Logic Programming system using Genetic Programming. Classification Rule 12 -- 2. Sebag, Genetic programming and domain knowledge: beyond the limitations of grammar-guided machine discovery. Best Rule Set Learned from the Monk Database 178 -- A. Evolutionary Algorithms 27 -- 3. Discovering Knowledge from Noisy Databases using Genetic Programming.

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Data mining using grammar based genetic programming and applications (Book, 2000) [blueshirtsunited.com]

data mining using grammar based genetic programming and applications man leung wong kwong sak leung

Shimohara, On role of implicit interaction and explicit communications in emergence of social behavior in continuous predators-prey pursuit problem. Discovering knowledge from medical databases using evolutionory algorithms. Buckley and and and and and and and and and and Jim DeLeo and and Aaron Baughman and and Maarten Keijzer and Arthur Kordon and and Laurence D. Inductive Concept Learning 57 -- 4. Learning acyclic rules based on Chaining Genetic Programming. Bayesian Classifier 19 -- 2.

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Data mining using grammar based genetic programming and applications (Book, 2000) [blueshirtsunited.com]

data mining using grammar based genetic programming and applications man leung wong kwong sak leung

Learning First-order Relations from Noisy Databases using Genetic Algorithms. Learning Functional Dependency Networks Based on Genetic Programming. The Logic-Grammars-Based Genetic Programming System. Expert Systems with Applications, 15 1 :47-58, 1998. Ryan, An investigation into the use of different search strategies with grammatical evolution. Logic Grammars 72 -- 5.

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Data mining using grammar based genetic programming and applications (Book, 2000) [blueshirtsunited.com]

data mining using grammar based genetic programming and applications man leung wong kwong sak leung

In Carlos Martin-Vide and Takaaki Mizuki and Miguel A. The formalism is powerful enough to represent context-sensitive information and domain-dependent knowledge. Ekárt Springer, Budapest, Hungary, 2006 , pp. This book first sets the necessary backgrounds for the reader, including an overview of data mining, evolutionary algorithms and inductive logic programming. PhD thesis, Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong, 1995. Type I rules: About Diagnosis 183 -- A.

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