Using the example of our own analysis, we show that the regularization is implemented differently in two popular Python packages: scikit-learn and tensorflow. Finally, we show how machine-learning-aided Side Channel Analysis is sensitive to hyperparameters and that finding th...
A large class of methods is iterative and requires evaluation of the gradients of the objective function in (1.1), with respect to the design (control) parameters y. These include first-order methods based on gradient descent and second-order methods such as quasi-newton and truncated Newton ...
Versions Notes Abstract The paper presents the design of iterative learning control for a class of mobile robots. This control strategy allows driving the considered system, which executes the same control task in trials, to the predefined reference within the consecutive iterations by improving the ...
Versions Notes Abstract The paper presents the design of iterative learning control for a class of mobile robots. This control strategy allows driving the considered system, which executes the same control task in trials, to the predefined reference within the consecutive iterations by improving the ...
Versions Notes Abstract The paper presents the design of iterative learning control for a class of mobile robots. This control strategy allows driving the considered system, which executes the same control task in trials, to the predefined reference within the consecutive iterations by improving the ...