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Obtained predictions are evaluated using a cost function.
For fuzzy inference system (FIS), fuzzy C-mean algorithm was tried using a cost function.
Matches are computed using a cost function, evaluated on a small window around the pixel positions.
Particle movement is achieved using a cost function that favors movement towards feasible shapes.
Representing the domain as a graph, TELIC finds cost of each link in the graph using a cost function with bandwidth, reliability, and delay as parameters.
Next, the frequency and initial phase of the spectral component that has the largest amplitude are converged using a cost function with the steepest descent method.
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However, the solution of an optimization problem using a cost functional (a function of functions of time) is quite different, and substantially harder to solve, than previous optimization problems using cost functions, which depended simply on two variables (such as substrate and enzyme levels in [ 25]).
The optimization procedure uses a cost function based on the appearance dissimilarity with the reference patch.
Furthermore, Unterthiner et al. used a cost function weighted, based on the dataset size for every target.
To decide when to switch to the DTN mode, a node uses a cost function related to network partition detection and to the navigation information of its neighbors.
The placement stage uses a cost function that allows designers to determine the desired trade-off between performance and leakage-saving.
More suggestions(15)
using a probability function
using a comparison function
using a cost factor
using a gain function
using a complexity function
using a cost model
using a cost effectiveness
using a cost threshold
using a desirability function
using a transformation function
using a cost estimate
using a cost recovery
using a hash function
using a fitness function
using a cost matrix
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