Abstract: Inspired by ideas from the field of stochastic approximation, we propose a randomized algorithm to compute the capacity of a finite-state channel with a Markovian input. When the mutual ...

The algorithm development kit, based on Etiometry’s FDA-cleared clinical intelligence platform, is now available to support research and clinical decision making in high-acuity care units ...

In statistics and machine learning, logistic regression is a widely-used supervised learning technique primarily employed for binary classification tasks. When the number of observations greatly ...

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Abstract: The Kaczmarz algorithm is popular for iteratively solving an over determined system of linear equations. Randomized version of the Kaczmarz algorithm can converge exponentially and ...

ABSTRACT: In this paper, we study a new version from Dual-pivot Quicksort algorithm when we have some other number of pivots. Hence, we discuss the idea of picking pivots by random way and splitting ...

Randomized algorithms have propelled advances in artificial intelligence and represent a foundational research area in advancing AI for Science. Future advancements in DOE Office of Science priority ...

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