Improving the accuracy of the solution of ill-posed discrete problem by random projection за авторством E. G. Revunova

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Recovering Signals Obtained by Indirect Measurements Based on Truncated Singular Value Decomposition and Random Projection за авторством E. G. Revunova

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Linear model selection criteria for the solution of discrete ill-posed problems on the basis of singular value decomposition and random projection за авторством E. G. Revunova

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Randomization approach to the recovery of signals resulted from indirect measurements за авторством E. G. Revunova

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Random projection and truncated SVD for estimating direction of arrival in antenna array за авторством E. G. Revunova, D. A. Rachkovskij

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The Technology of the Stable Solution for Discrete Ill-Posed Problems by Modified Random Projection Method за авторством E. G. Revunova, O. V. Tyshchuk, O. O. Desiateryk

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Neural Distributed Representations of Vector Data in Intelligent Information Technologies за авторством V. I. Gritsenko, D. A. Rachkovskij, E. G. Revunova

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A linear system output transformation for sparse approximation за авторством O. V. Tyshchuk, O. O. Desiateryk, O. E. Volkov, E. G. Revunova, D. A. Rachkovskij

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Neural Distributed Representations for Artificial Intelligence and Modeling of Thinkingl за авторством D. A. Rachkovskij, V. I. Gritsenko, O. Y. Volkov, A. D. Goltsev, E. G. Revunova, D. Kleyko, V. V. Lukovich, E. Osipov

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Neural distributed representation for intelligent information technologies and modeling of thinking за авторством V. I. Gritsenko, D. A. Rachkovskij, A. D. Goltsev, V. V. Lukovich, I. S. Misuno, E. G. Revunova, S. V. Slipchenko, A. M. Sokolov, S. A. Talaev

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