TPOT-NN: augmenting tree‑based automated machine learning with neural network estimators
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @Article{Romano:GPEM:TPOT-NN,
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author = "Joseph D. Romano and Trang T. Le and Weixuan Fu and
Jason H. Moore",
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title = "{TPOT-NN}: augmenting tree‑based automated machine
learning with neural network estimators",
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journal = "Genetic Programming and Evolvable Machines",
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year = "2021",
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volume = "22",
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number = "2",
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pages = "207--227",
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month = jun,
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keywords = "genetic algorithms, genetic programming, TPOT,
Automated machine learning, AutoML, pipeline,
Evolutionary algorithms, Artificial neural networks,
ANN, Pareto optimization",
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ISSN = "1389-2576",
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DOI = "doi:10.1007/s10710-021-09401-z",
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size = "21 pages",
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abstract = "Automated machine learning (AutoML) and artificial
neural networks (ANNs) have revolutionized the field of
artificial intelligence by yielding incredibly
high-performing models to solve a myriad of inductive
learning tasks. In spite of their successes, little
guidance exists on when to use one versus the other.
Furthermore, relatively few tools exist that allow the
integration of both AutoML and ANNs in the same
analysis to yield results combining both of their
strengths. Here, we present TPOT-NN, a new extension to
the tree-based AutoML software TPOT, and use it to
explore the behavior of automated machine learning
augmented with neural network estimators (AutoML+NN),
particularly when compared to non-NN AutoML in the
context of simple binary classification on a number of
public benchmark datasets. Our observations suggest
that TPOT-NN is an effective tool that achieves greater
classification accuracy than standard tree-based AutoML
on some datasets, with no loss in accuracy on others.
We also provide preliminary guidelines for performing
AutoML+NN analyses, and recommend possible future
directions for AutoML+NN methods research, especially
in the context of TPOT.",
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notes = "Institute for Biomedical Informatics, University of
Pennsylvania, Philadelphia, PA 19104, USA",
- }
Genetic Programming entries for
Joseph D Romano
Trang T Le
Weixuan Fu
Jason H Moore
Citations