Cross-Domain Reuse of Extracted Knowledge in Genetic Programming for Image Classification

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Title

Cross-Domain Reuse of Extracted Knowledge in Genetic Programming for Image Classification

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Description

© 2017 IEEE. Genetic programming (GP) is a well-known evolutionary computation technique, which has been successfully used to solve various problems, such as optimization, image analysis, and classification. Transfer learning is a type of machine learning approach that can be used to solve complex tasks. Transfer learning has been introduced to GP to solve complex Boolean and symbolic regression problems with some promise. However, the use of transfer learning with GP has not been investigate...

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Other

Date created

28 Oct, 2020

Creator

M Iqbal / Bing Xue / Harith Al-Sahaf / Mengjie Zhang

URL

https://figshare.com/articles/journal_contribution/Cross-Domain_Reuse_of_Extracted_Knowledge_in_G...

Related subjects

Building blocks / code fragments / genetic programming (GP) / image classification / knowledge extraction / Science & Technology / Technology / Computer Science, Artificial Intelligence / Computer Science, Theory & Methods / Computer Science / BUILDING-BLOCKS / EVOLUTIONARY / GP / Artificial Intelligence & Image Processing / Electrical and Electronic Engineering / Information Systems / Artificial Intelligence and Image Processing

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