Automating Biomedical Data Science Through Tree-Based Pipeline Optimization
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @InProceedings{Olson2016EvoBio,
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author = "Randal S. Olson and Ryan J. Urbanowicz and
Peter C. Andrews and Nicole A. Lavender and {La Creis} Kidd and
Jason H. Moore",
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title = "Automating Biomedical Data Science Through Tree-Based
Pipeline Optimization",
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booktitle = "Proceedings of the 19th European Conference on
Applications of Evolutionary Computation,
EvoApplications 2016, Part I",
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year = "2016",
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editor = "Giovanni Squillero and Paolo Burelli",
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volume = "9597",
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series = "LNCS",
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pages = "123--137",
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address = "Porto, Portugal",
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month = mar # " 30 - " # apr # " 1",
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publisher = "Springer",
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note = "Best paper, EvoBio track",
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keywords = "genetic algorithms, genetic programming, TPOT",
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isbn13 = "978-3-319-31204-0",
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DOI = "doi:10.1007/978-3-319-31204-0_9",
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code_url = "https://github.com/EpistasisLab/tpot",
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abstract = "Over the past decade, data science and machine
learning has grown from a mysterious art form to a
staple tool across a variety of fields in academia,
business, and government. In this paper, we introduce
the concept of tree-based pipeline optimization for
automating one of the most tedious parts of machine
learning: pipeline design. We implement a Tree-based
Pipeline Optimization Tool (TPOT) and demonstrate its
effectiveness on a series of simulated and real-world
genetic data sets. In particular, we show that TPOT can
build machine learning pipelines that achieve
competitive classification accuracy and discover novel
pipeline operators, such as synthetic feature
constructors, that significantly improve classification
accuracy on these data sets. We also highlight the
current challenges to pipeline optimization, such as
the tendency to produce pipelines that overfit the
data, and suggest future research paths to overcome
these challenges. As such, this work represents an
early step toward fully automating machine learning
pipeline design.",
- }
Genetic Programming entries for
Randal S Olson
Ryan J Urbanowicz
Peter C Andrews
Nicole A Lavender
La Creis Renee Kidd
Jason H Moore
Citations