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(7)   

• GENETICA: A Computer Language That Supports General Formal Expression With Evolving Data Structures
  Lefteris Virirakis IEEE Transactions on Evolutionary Computation7(5):456--481October2003.
  to computer specific logic, data languages, design, GENETICA, scenarios, problem-solving, structure, results, programming level intelligence, programming, method, evolutionary domain abstractions, environments, G-CAD, CAD, algorithms, GP, generation computation, expression, solving, problem-solving experimental problem optimization, evolving general formal environment structures, genetic architectural genotypes, high artificial language, by brazovayeye and 1 other person on Jun 19, 2008, 5:46 PM
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• High energy physics data analysis with gene expression programming
  Liliana Teodorescu IEEE Nuclear Science Symposium Conference Record, 1, page143--147. IEEE, 23-29 October2005.
  to expression computing, Programming, gene Gene analysis, physics algorithm, data instrumentation analysis programming, genetic evolutionary Expression high algorithms, energy by brazovayeye on Jun 19, 2008, 5:46 PM
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• Modeling Sparse Engine Test Data Using Genetic programming
  Tina Yu and Jim Rutherford The Seventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Francisco, California, USA, 26-29 August2001.
  to Data Virtual programming, Modeling, genetic Sparse Dimensionality, algorithms, Testing High Data, by brazovayeye and 1 other person on Jun 19, 2008, 5:35 PM
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• Intraday technical trading in the foreign exchange market
  Christopher J. Neely and Paul A. Weller Journal of International Money and Finance22(2):223--237April2003.
  to Trading analysis, Exchange programming, genetic rate, Technical frequency algorithms, High rule, by brazovayeye and 1 other person on Jun 19, 2008, 5:35 PM
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• Comparison of AdaBoost and Genetic Programming for combining Neural Networks for Drug Discovery
  W. B. Langdon and S. J. Barrett and B. F. Buxton Applications of Evolutionary Computing, EvoWorkshops2003: EvoBIO, EvoCOP, EvoIASP, EvoMUSART, EvoROB, EvoSTIM, volume2611ofLNCS, page87--98. University of Essex, UK, Springer-Verlag, 14-16 April2003.
  to Operating put data neural Characteristics through (ROC), design, networks, ensemble classifiers, of screening programming, fusion, adaboost, genetic (HTS) Receiver clementine, high algorithms, artificial drug by brazovayeye and 1 other person on Jun 19, 2008, 5:35 PM
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• Combining Decision Trees and Neural Networks for Drug Discovery
  William B. Langdon and S. J. Barrett and B. F. Buxton Genetic Programming, Proceedings of the 5th European Conference, EuroGP 2002, volume2278ofLNCS, page60--70. Kinsale, Ireland, Springer-Verlag, 3-5 April2002.
  to put data Characteristics neural design, (ROC), through decision classifiers, of programming, (HTS) clementine, algorithms, drug Operating networks, ensemble C4.5, screening fusion, Receiver genetic trees high artificial by brazovayeye and 1 other person on Jun 19, 2008, 5:35 PM
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• Evolution of Mesh Refinement Rules for Impact Dynamics
  Daniel Howard and Simon C. Roberts Proceedings of the 2000 Congress on Evolutionary Computation CEC00, page1297--1303. La Jolla Marriott Hotel La Jolla, California, USA, IEEE Press, 6-9 July2000.
  to evolution, computing, equations, i,mpact refinement engineering densities, ball, impact learning, metal differential rule evolutionary mechanical applications algorithms, mesh computation, Programming, impact, speed adaptive (mechanical), plate (artificial learning partial spherical material intelligence), cells, refinement, genetic high dynamics, novel by brazovayeye on Jun 19, 2008, 5:35 PM
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