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Each iteration sees an update of the weight by the computed gradient.
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Then, the Line Sampling method (Reliability toolbox) is used by passing the computed gradient.
Since the presence of the eyelids and eyelashes significantly increases the computed gradient, the arc is restricted to the area not affected by them.
Visually, the computed gradients match our intuition.
Through the formulation of a so-called adjoint problem it is possible to compute gradient information by which the sensitivity of a quantity like lift, drag or moment against movement or placing of mesh points can be determined [10 13].
A remedy was pointed out by [12], that suggests the use of Gaussian smoothing before computing gradients.
This paper discusses the application of the Virtual Reference Feedback Tuning technique to tune neural controllers from experimental data, by particularising nonlinear VRFT and suitably computing gradients backpropagating in time.
This paper discusses the application of the virtual reference tuning (VRT) techniques to tune neural controllers from batch input output data, by particularising nonlinear VRT and suitably computing gradients backpropagating in time.
Further, the traditional way to learn the parameters of a deep architecture is to minimize an objective function by computing the gradient over all the parameters using the backpropagation algorithm [14] with a nonlinear optimizer.
Often it is helpful to interpret MEG fields measured by magnetometers (and axial gradiometers, e.g., Gross et al. 2012) after transforming the data to a planar gradient configuration, that is, by computing the gradient tangential to the scalp.
This is achieved by computing the gradient (vec{g}) and the Hessian H (or its approximation) at each iteration of the nonlinear regression.
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