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We show that the cooperative agent motion that minimizes a cost function utilizing Bayes risk is an efficient way to achieve selective interception.
The function find_optimal_threshold (see line Algorithm 2) finds the threshold that minimizes a cost function defined on false-positive and true-positive rates.
The joint matrix h is estimated on the basis of NMF with the sparse constraint that minimizes a cost function [4].
To make a decision on each level, thresholds have been introduced and are fixed through an iterative procedure that minimizes a cost function.
Contrast enhancement in histogram modification framework (HMF) is also treated as an optimization problem that minimizes a cost function to address noise and black/white stretching [3].
Model predictive control (MPC) at each time step minimizes a cost function subject to dynamical constraints to obtain a stabilizing control signal.
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These techniques minimize a cost function by exploring an application parameter search space.
Predictive control algorithms compute the manipulated variable minimizing a cost function considering expected future errors.
The parameters in the fuzzy mechanism are tuned by minimizing a cost function.
The model-based inverse problem is solved by minimizing a cost functional using genetic algorithms.
The proposed SRR algorithm is based on the stochastic regularization technique of Bayesian MAP estimation by minimizing a cost function.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com