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Computation of Identification of a Gnostical Regression Model, Robust to Both Input and Output Disturbances with the Help of Parallel Computing – Basic Version

J. Knizek, L. Pavliska, V. Procházka, A. Vrtková, L. Beranek, P. Bouchal, B. Vojtesek, R. Nenutil, M. Kuba

Abstract



Computation of Identification of a Gnostical Regression Model, Robust to Both Input and Output Disturbances with the Help of Parallel Computing – Basic Version
Our paper describes a demonstration of Kovanic’s physical concept of the robust evaluation of data-uncertainty on some regression tasks, i.e., in a very practical way. Special techniques of computation during the solution of regression tasks are explained in detail here. Properties of particular tasks’ solutions are demonstrated also by graphical figuration.

Keywords


Gnostics; Statistics; Environment; Health; Non-statistical methods; Regression;

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