Search Results - "Gorban, A.N"

Transition states and entangled mass action law by Gorban, A.N.

“…The classical approaches to the derivation of the (generalized) Mass Action Law (MAL) assume that the intermediate transition state (i) has short life time and…”
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Detailed balance in micro- and macrokinetics and micro-distinguishability of macro-processes by Gorban, A.N.

“…We develop a general framework for the discussion of detailed balance and analyse its microscopic background. We find that there should be two additions to the…”
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Handling missing data in large healthcare dataset: a case study of unknown trauma outcomes by Mirkes, E.M, Coats, T.J, Levesley, J, Gorban, A.N

“…Abstract Handling of missed data is one of the main tasks in data preprocessing especially in large public service datasets. We have analysed data from the…”
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Extended detailed balance for systems with irreversible reactions by Gorban, A.N., Yablonsky, G.S.

“…The principle of detailed balance states that in equilibrium each elementary process is equilibrated by its reverse process. For many real physico-chemical…”
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Computational diagnosis and risk evaluation for canine lymphoma by Mirkes, E.M, Alexandrakis, I, Slater, K, Tuli, R, Gorban, A.N

“…Abstract The canine lymphoma blood test detects the levels of two biomarkers, the acute phase proteins (C-Reactive Protein and Haptoglobin). This test can be…”
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Singularities of transient processes in dynamics and beyond by Gorban, A.N.

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Hydrodynamics from Grad's equations: What can we learn from exact solutions? by Karlin, I.V., Gorban, A.N.

“…A detailed treatment of the classical Chapman‐Enskog derivation of hydrodynamics is given in the framework of Grad's moment equations. Grad's systems are…”
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Correction of AI systems by linear discriminants: Probabilistic foundations by Gorban, A.N., Golubkov, A., Grechuk, B., Mirkes, E.M., Tyukin, I.Y.

“…Artificial Intelligence (AI) systems sometimes make errors and will make errors in the future, from time to time. These errors are usually unexpected, and can…”
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Stochastic separation theorems by Gorban, A N, Tyukin, I Y

“…The problem of non-iterative one-shot and non-destructive correction of unavoidable mistakes arises in all Artificial Intelligence applications in the real…”
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It is useful to analyze correlation graphs by Gorban, A.N., Tyukina, T.A., Pokidysheva, L.I., Smirnova, E.V.

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Enhancement of the stability of lattice Boltzmann methods by dissipation control by Gorban, A.N., Packwood, D.J.

“…Artificial dissipation is a well known tool for the improvement of stability of numerical algorithms. However, the use of this technique affects the accuracy…”
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Singularities of transient processes in dynamics and beyond: Comment on “Long transients in ecology: Theory and applications” by Andrew Morozov et al by Gorban, A.N.

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Dynamic and thermodynamic models of adaptation by Gorban, A.N., Tyukina, T.A., Pokidysheva, L.I., Smirnova, E.V.

“…•The correlation graph between attributes provides a tool for studying stress and critical transitions.•We reviewed data that support or refute the hypothesis:…”
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Basic model of purposeful kinesis by Gorban, A.N., Çabukoǧlu, N.

“…•Migration and dispersal of animals has evolved under control of natural selection.•New models of kinesis with diffusion coefficient dependent on fitness are…”
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Mobility cost and degenerated diffusion in kinesis models by Gorban, A.N., Çabukoǧlu, N.

“…A new critical effect is predicted in population dispersal. It is based on the fact that a trade-off between the advantages of mobility and the cost of…”
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Thermodynamics in the limit of irreversible reactions by Gorban, A.N., Mirkes, E.M., Yablonsky, G.S.

“…For many complex real physicochemical systems, the detailed mechanism includes both reversible and irreversible reactions. Such systems are typical in…”
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Maxallent: Maximizers of all entropies and uncertainty of uncertainty by Gorban, A.N.

“…The entropy maximum approach (Maxent) was developed as a minimization of the subjective uncertainty measured by the Boltzmann–Gibbs–Shannon entropy. Many new…”
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Grasping Complexity by Gorban, A.N., Yablonsky, G.S.

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Piece-wise quadratic approximations of arbitrary error functions for fast and robust machine learning by Gorban, A.N., Mirkes, E.M., Zinovyev, A.

“…Most of machine learning approaches have stemmed from the application of minimizing the mean squared distance principle, based on the computationally efficient…”
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It is useful to analyze correlation graphs: Reply to comments on “Dynamic and thermodynamic models of adaptation” by Gorban, A.N., Tyukina, T.A., Pokidysheva, L.I., Smirnova, E.V.

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