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

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

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

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Random projection and truncated SVD for estimating direction of arrival in antenna array by 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 by E. G. Revunova, O. V. Tyshchuk, O. O. Desiateryk

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

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A linear system output transformation for sparse approximation by 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 by 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 by 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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