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This task is formulated as a non-linear programming problem.
This task is formulated as a mixed integer quadratically constrained programming (MIQCP) problem.
This task is formulated as a constrained optimization problem with a cost functional of least squares type using information obtained from measurements.
This task is formulated as an optimization problem which considers the amount of data transfer operations performed via the bus segments.
This task is formulated as a combinatorial optimization problem with three objectives: to maximize the number of correctly classified training patterns, to minimize the number of fuzzy rules, and to minimize the total number of antecedent conditions.
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This mesh smoothing task is formulated as a quadratic optimization problem, in which the objective function is designed to be a linear combination of the shape term and the smoothing term, thus it overcomes the shrinkage problem in the traditional Laplacian smoothing.
Race estimation was also addressed in [60] where a LDA representation was developed under the Bayesian statistical decision framework: the task was formulated as a two-category classification problem to classify between Asian or non-Asian subjects.
In this study, the CHEMDNER task is formulated as a sequence labelling problem.
The tracking task is formulated as a binary classification via online boosting framework.
The optimization task is formulated as a five-criterion mixed-integer non-linear programming problem.
The redesign task is formulated as a multicriteria problem and considers simultaneously environmental, economical, legal and technical aspects.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com