Символьная регрессия

Материал из MachineLearning.

Литература

• Koza, J. R. Genetic Programming IV: Routine Human-Competitive Machine Intelligence. Springer. 2005.
• Riolo, R., Soule, T., Worzel, B. (Eds.) Genetic Programming Theory and Practice V. Series: Genetic and Evolutionary Computation. Springer. 2008.
• Madar, J., Janos, A., Szeifert, F. Genetic Programming for the Identification of Nonlinear Input-Output Models. citeseer.ist.psu.edu. 2005.
• Hazan, A. et al. Modelling Expressive Performance: A Regression Tree Approach Based on Strongly Typed Genetic Programming / Applications of Evolutionary Computing. Springer. Vol. 3907/2006. P. 676—687.
• Kohavi, R. A study of cross-validation and bootstrap for accuracy estimation and model selection / Proceedings of 14 International Joint Conference of Artificial Intelligence. 2(12). P. 1137—1143.

Внешние ссылки

• Silva, S. GPLAB — A Genetic Programming Toolbox for MATLAB
• Searson, D. GPTIPS — Genetic Programming Tool for MATLAB
• Gepsoft GeneXproTools — Logistic Regression Analytics Platform