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As a consequence, we tried to circumvent the issues related to the use of term orders by proposing the term order free reverse engineering method, a generalization of the LS-algorithm that does not depend on the choice of a term order.
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Two methods were considered to validate the pattern classification method: a generalization-regularization and the k-fold cross validation processes (k = 5).
The method is a generalization of a method previously proposed for vertical boreholes.
The method is a generalization of KBM method and covers all the three cases when the eigenvalues of the unperturbed equation are real, complex conjugate, or purely imaginary.
This method is a generalization of the hyperparameter method constructed by Lahav et al.
This method is a generalization of the known method of space-harmonic expansion based on the theorem of Bloch Floquet for a two-dimensional case.
Moreover, our method is a generalization of the ARM method as we can simulate ARM by setting ReTrace to find unbranched pathways only.
This method is a generalization and extension of methods previously used by Herbst and Dasarathy.
The proposed method is a generalization of the convex approximation method.
The corresponding method is a generalization of the forward-backward method.
The new method is a generalization of the adaptive cross approximation (ACA) method initially designed for the low-rank approximation of matrices using only few of its original entries.
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