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Feature Selection to Improve Generalization of Genetic Programming for High-Dimensional Symbolic Regression

  • Published:2017-10 Issue:5 Volume:21 Page:792-806
  • ISSN:1089-778X
  • Container-title:IEEE Transactions on Evolutionary Computation
  • language:
  • Short-container-title:IEEE Trans. Evol. Computat.

Author:

Chen QiORCID,Zhang Mengjie,Xue Bing

Funder

Marsden Fund of New Zealand Government

Huawei Industry Fund

University Research Fund at Victoria University of Wellington

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Theoretical Computer Science,Software

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1. Ensemble Learning Through Evolutionary Multitasking: A Formulation and Case Study;IEEE Transactions on Emerging Topics in Computational Intelligence;2024-08

2. MPEA-FS: A decomposition-based multi-population evolutionary algorithm for high-dimensional feature selection;Expert Systems with Applications;2024-08

3. Enhancing Classification Through Multi-view Synthesis in Multi-Population Ensemble Genetic Programming;Proceedings of the Genetic and Evolutionary Computation Conference Companion;2024-07-14

4. Bias-Variance Decomposition: An Effective Tool to Improve Generalization of Genetic Programming-based Evolutionary Feature Construction for Regression;Proceedings of the Genetic and Evolutionary Computation Conference;2024-07-14

5. Genetic Programming with Multi-Task Feature Selection for Alzheimer's Disease Diagnosis;2024 IEEE Congress on Evolutionary Computation (CEC);2024-06-30
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