Automatic evolutionary learning of composite models with knowledge enrichment

Kalyuzhnaya A.V., Nikitin N.O., Vychuzhanin P., Hvatov A., Boukhanovsky A.
Тип документа: Proceedings Article
Дата публикации: 2020-07-08
Название журнала: GECCO 2020 Companion - Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion
Издатель: —
DOI:  10.1145/3377929.3398167
Краткое описание
This paper provides the main concepts of the knowledge-enriched AutoML approach and shortly describes the current results of the proof of concept implementation within the FEDOT framework. By knowledge enrichment, we mean the insertion of domain-specific models and expert-like meta-heuristics. Also, we involve multi-scale learning as a part of complex models identification. The proposed concepts make it possible to create effective and interpretable composite models.
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1. Kalyuzhnaya A. V. и др. Automatic evolutionary learning of composite models with knowledge enrichment // Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion. 2020.
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TY - CPAPER

DO - 10.1145/3377929.3398167

UR - http://dx.doi.org/10.1145/3377929.3398167

TI - Automatic evolutionary learning of composite models with knowledge enrichment

T2 - Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion

AU - Kalyuzhnaya, Anna V.

AU - Nikitin, Nikolay O.

AU - Vychuzhanin, Pavel

AU - Hvatov, Alexander

AU - Boukhanovsky, Alexander

PY - 2020

DA - 2020/07/08

PB - ACM

ER -

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@inproceedings{Kalyuzhnaya_2020,

doi = {10.1145/3377929.3398167},

url = {https://doi.org/10.1145%2F3377929.3398167},

year = 2020,

month = {jul},

publisher = {{ACM}},

author = {Anna V. Kalyuzhnaya and Nikolay O. Nikitin and Pavel Vychuzhanin and Alexander Hvatov and Alexander Boukhanovsky},

title = {Automatic evolutionary learning of composite models with knowledge enrichment},

booktitle = {Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion}

}

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Kalyuzhnaya, Anna V., et al. “Automatic Evolutionary Learning of Composite Models with Knowledge Enrichment.” Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion, July 2020. Crossref, https://doi.org/10.1145/3377929.3398167.