Multitree Genetic Programming With Feature-Based Transfer Learning for Symbolic Regression on Incomplete Data
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- @Article{Al-Helali:CYB,
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author = "Baligh Al-Helali and Qi Chen and Bing Xue and
Mengjie Zhang",
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journal = "IEEE Transactions on Cybernetics",
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title = "Multitree Genetic Programming With Feature-Based
Transfer Learning for Symbolic Regression on Incomplete
Data",
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note = "Early access",
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abstract = "Data incompleteness is a serious challenge in
real-world machine-learning tasks. Nevertheless, it has
not received enough attention in symbolic regression
(SR). Data missingness exacerbates data shortage,
especially in domains with limited available data,
which in turn limits the learning ability of SR
algorithms. Transfer learning (TL), which aims to
transfer knowledge across tasks, is a potential
solution to solve this issue by making amends for the
lack of knowledge. However, this approach has not been
adequately investigated in SR. To fill this gap, a
multitree genetic programming-based TL method is
proposed in this work to transfer knowledge from
complete source domains (SDs) to incomplete related
target domains (TDs). The proposed method transforms
the features from a complete SD to an incomplete TD.
However, having many features complicates the
transformation process. To mitigate this problem, we
integrate a feature selection mechanism to eliminate
unnecessary transformations. The method is examined on
real-world and synthetic SR tasks with missing values
to consider different learning scenarios. The obtained
results not only show the effectiveness of the proposed
method but also show its training efficiency compared
with the existing TL methods. Compared to
state-of-the-art methods, the proposed method reduced
an average of more than 2.58percent and 4percent
regression error on heterogeneous and homogeneous
domains, respectively.",
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keywords = "genetic algorithms, genetic programming, Task
analysis, Feature extraction, Data models, Transfer
learning, Contracts, Adaptation models, Routing,
incomplete data, symbolic regression (SR), transfer
learning (TL)",
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DOI = "doi:10.1109/TCYB.2023.3270319",
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ISSN = "2168-2275",
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notes = "Also known as \cite{10120936}",
- }
Genetic Programming entries for
Baligh Al-Helali
Qi Chen
Bing Xue
Mengjie Zhang
Citations