Dimensionality Reduction for Classification Using Divide-and-Conquer Based Genetic Programming-Reference-Cited by-同舟云学术

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Dimensionality Reduction for Classification Using Divide-and-Conquer Based Genetic Programming

Published:2024-06-30 Issue: Volume:1 Page:1-8
ISSN:
Container-title:2024 IEEE Congress on Evolutionary Computation (CEC)
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Author:

Wang Peng¹,Xue Bing²,Liang Jing³,Zhang Mengjie²

Affiliation:

1. School of Electrical and Information Engineering, Zhengzhou University,Zhengzhou,China

2. Center for Data Science and Artificial Intelligence, School of Engineering and Computer Science Victoria, University of Wellington,Wellington,New Zealand

3. School of Electrical Engineering and Automation, Henan Institute of Technology,Xinxiang,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10609966/10611750/10612123.pdf?arnumber=10612123

Reference39 articles.

1. Feature Selection for Classification

2. A Survey on Evolutionary Multiobjective Feature Selection in Classification: Approaches, Applications, and Challenges

3. Can Genetic Programming Do Manifold Learning Too?

4. A Survey on Evolutionary Computation Approaches to Feature Selection

5. Genetic programming as a means for programming computers by natural selection

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