An examination of whether his recent moves have no precedent, are relatively common or somewhere in between. By Francesca ParisAlicia Parlapiano and Josh Katz In his first year back in the White House ...
Abstract: The sigmoid function is a representative activation function in shallow neural networks. Its hardware realization is challenging due to the complex exponential and reciprocal operations.
Abstract: The successive convex approximation (SCA) methods stand out as the viable option for nonlinear optimization-based control, as it effectively addresses the challenges posed by nonlinear ...
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