Genetic programming for multiple-feature construction on high-dimensional classification

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Genetic programming for multiple-feature construction on high-dimensional classification

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© 2019 Elsevier Ltd Data representation is an important factor in deciding the performance of machine learning algorithms including classification. Feature construction (FC)can combine original features to form high-level ones that can help classification algorithms achieve better performance. Genetic programming (GP)has shown promise in FC due to its flexible representation. Most GP methods construct a single feature, which may not scale well to high-dimensional data. This paper aims at inve...

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Other

Date created

10 Dec, 2020

Creator

Binh Tran / Bing Xue / Mengjie Zhang

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https://figshare.com/articles/journal_contribution/Genetic_programming_for_multiple-feature_const...

Related subjects

Science & Technology / Technology / Computer Science, Artificial Intelligence / Engineering, Electrical & Electronic / Computer Science / Engineering / Feature construction / Genetic programming / Classification / Class dependence / High-dimensional data / SELECTION / Artificial Intelligence & Image Processing / Uncategorized

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