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README.rst

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:Научный руководитель: Бахтеев Олег
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:Научный консультант(при наличии): Бабкин Петр
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**Abstract**
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========
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**Abstract**: The automated search for optimal neural network architectures (NAS) is a challenging compu-
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The automated search for optimal neural network architectures (NAS) is a challenging compu-
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tational problem, and Neural Ensemble Search (NES) is even more complex. In this work, we propose a
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surrogate-based approach for ensebmle creation. Neural architectures are represented as graphs, and their
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predictions on a dataset serve as training data for the surrogate function. Using this function, we develop

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