Structural Evolutionary Learning for Composite Classification Models
Created by W.Langdon from
gp-bibliography.bib Revision:1.8010
- @Article{Nikitin:2020:PCS,
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author = "Nikolay O. Nikitin and Iana S. Polonskaia and
Pavel Vychuzhanin and Irina V. Barabanova and
Anna V. Kalyuzhnaya",
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title = "Structural Evolutionary Learning for Composite
Classification Models",
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journal = "Procedia Computer Science",
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year = "2020",
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volume = "178",
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pages = "414--423",
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note = "special issue: 9th International Young Scientists
Conference in Computational Science, YSC2020, 05-12
September 2020",
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keywords = "genetic algorithms, genetic programming, evolutionary
learning, data-driven models, AutoML, FEDOT, machine
learning, classification",
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ISSN = "1877-0509",
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URL = "http://www.human-competitive.org/sites/default/files/nikitin_human_competitive.txt",
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URL = "http://www.human-competitive.org/sites/default/files/structural_evolutionary_learning_for_composite_classification_models.pdf",
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URL = "https://www.sciencedirect.com/science/article/pii/S1877050920324224",
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DOI = "doi:10.1016/j.procs.2020.11.043",
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code_url = "https://github.com/ITMO-NSS-team/FEDOT.Algs",
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size = "10 pages",
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abstract = "we propose an evolutionary learning approach for
flexible identification of custom composite models for
classification problems. To solve this problem in an
efficient way, the problem-specific evolutionary
operators are proposed and the effectiveness of
different modifications of the common genetic
programming algorithm is investigated. Also, several
implementations of caching for the fitted models were
compared from the performance point of view. To verify
the proposed algorithm, both synthetic and real-world
classification cases are examined. The implemented
solution can identify the structure of the composite
models from scratch, as well as be used as a part of
automated machine learning solutions.",
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notes = "Entered 2021 HUMIES see
\cite{Kalyuzhnaya:2020:GECCOcomp}
ITMO University, 49 Kronverksky Pr. St. Petersburg,
197101, Russian Federation",
- }
Genetic Programming entries for
Nikolay O Nikitin
Iana S Polonskaia
Pavel Vychuzhanin
Irina V Barabanova
Anna V Kalyuzhnaya
Citations