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TomTom, a maker of navigation devices, uses connection data from mobile networks to update directions if there are delays.
As update directions (8) descend the gradient of an infinitely differentiable convex function, learning rules based on them have good convergence rates [23].
Using ℓ0 constrained sparse coding scheme, the top-down and bottom-up co-firing leads to a non-iterative cell-centered synaptic update model, entailing the strict entropy reduction from early to later layers, as well as a dual optimization of update directions and step sizes that dynamically depend on the firing ages of the neurons.
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Next, we have to compute a feasible update direction.
This scheme enables each transmitter to estimate its current update direction from the received signal power.
The feasible update direction is (29) which is the derivation of (3) and (4) [24].
In the Newton-Raphson method, the computational complexity primarily comes from finding the update direction.
Usually, a common choice of the update direction is the gradient of objective function which we want to optimized.
Beside the update direction, how to choose the initial candidate set is also an important element of GAMIO algorithm.
The purpose of this contribution is to clarify that such algorithms need proper calculation of the update direction in undermodeled situations.
The improvements are made by providing a step size in each controller parameter update direction and by monitoring for an increase in design criterion suggesting parameters are moving away from the optimised controller.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com