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(9)   

• Statistical analysis of intelligent classifier on breast cancer data
  I. Rojas and O. Valenzuela and L. Marquez and Pasadas Pasadas WSEAS ICOPES-ICOSSE-AMCOS-ISCOCO, page6. New York, USA, December~27-292003.
  to Statistical Neural programming, genetic algorithms, networks, analysis Genetic Fuzzy, by brazovayeye on Jun 19, 2008, 5:46 PM
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• Regularization Approach to Inductive Genetic Programming
  Nikolay Y. Nikolaev and Hitoshi Iba IEEE Transactions on Evolutionary Computing54(4):359--375August2001.
  to series searching, bias, data mining, (artificial learning statistical prediction, inductive intelligence), time regularization, tree structures, programming, search genetic multivariate algorithms, nodes, STROGANOFF,local Kolmogorov-Gabor polynomials, by brazovayeye and 1 other person on Jun 19, 2008, 5:46 PM
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• Predicting currency exchange rates by genetic programming with trigonometric functions and high-order statistics
  Roy Schwaerzel and Tom Bylander GECCO 2006: Proceedings of the 8th annual conference on Genetic and evolutionary computation, 1, page955--956. Seattle, Washington, USA, ACM Press, 8-12 July2006.
  to series ANN, Poster, analysis, high-order set set, programming: neural prediction/forecasting, acquisition, learning, statistical and function time parameter finance, genetic trigonometric connectionism nets, algorithms, language by brazovayeye and 1 other person on Jun 19, 2008, 5:35 PM
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• Application of genetic programming for multicategory pattern classification
  J. K. Kishore and L. M. Patnaik and V. Mani and V. K. Agrawal IEEE Transactions on Evolutionary Computation4(3):242--258September2000.
  to set resolution distribution, classification, learning, statistical function training methods, programming, algorithms, GP, function, distribution-free discriminant association measure, strength rules, multicategory sets, two-category pattern genetic conflict choice, incremental heuristic SA by brazovayeye and 1 other person on Jun 19, 2008, 5:35 PM
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• Recombination Guidance for Numerical Genetic Programming
  Hitoshi Iba and Taisuke Sato and Hugo de Garis 1995 IEEE Conference on Evolutionary Computation, 1, page97--102. Perth, Australia, IEEE Press, 29 November - 1 December1995.
  to computer series, series STROGANOFF, algorithm-based regression analysis statistical function time recombination, programming, search method, mechanism, algorithms, structured multiple problems, program, analysis, problems adaptive recombination chaotic prediction, system identification genetic program strategy, numerical representation, vision, fitting, estimation, nonlinear by brazovayeye on Jun 19, 2008, 5:35 PM
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• Non-linear principal components analysis using genetic programming
  H. G. Hiden and M. J. Willis and M. T. Tham and G. A. Montague Computers and Chemical Engineering23(3):413--42528 February1999.
  to columns, distillation analysis, mathematical data reduction, statistics statistical methods, programming, principal component operations, genetic chemical statistics, multivariate algorithms, systems, plants, nonlinear by brazovayeye on Jun 19, 2008, 5:35 PM
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• A statistical learning theory approach of bloat
  Sylvain Gelly and Olivier Teytaud and Nicolas Bredeche and Marc Schoenauer GECCO 2005: Proceedings of the 2005 conference on Genetic and evolutionary computation, 2, page1783--1784. Washington DC, USA, ACM Press, 25-29 June2005.
  to reliability, Poster, programming, genetic theory bloat, learning code algorithms, theory, statistical growth, by brazovayeye and 2 other people on Jun 19, 2008, 5:35 PM
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• Forecasting with genetically programmed polynomial neural networks
  Lilian M. de Menezes and Nikolay Y. Nikolaev International Journal of Forecasting22(2):249--265April-June2006.
  to Statistical programming, Nonlinear genetic neural Tree-structured learning algorithms, algorithms models, network polynomial by brazovayeye and 1 other person on Jun 19, 2008, 5:35 PM
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• Pareto front genetic programming parameter selection based on design of experiments and industrial data
  Flor Castillo and Arthur Kordon and Guido Smits and Ben Christenson and Dee Dickerson GECCO 2006: Proceedings of the 8th annual conference on Genetic and evolutionary computation, 2, page1613--1620. Seattle, Washington, USA, ACM Press, 8-12 July2006.
  to front, symbolic regression Pareto statistical experiments, of Applications, industrial programming, genetic algorithms, design Real-World applications, by brazovayeye and 1 other person on Jun 19, 2008, 5:35 PM
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