Abstract: Graph-structured combinatorial problems in complex networks are prevalent in many domains, and are computationally demanding due to their complexity and non-linear nature. Traditional ...

What is supervised learning and how does it work? In this video/post, we break down supervised learning with a simple, real-world example to help you understand this key concept in machine learning.

Andrew Weissmann, former top official at Justice Department joins Nicolle Wallace on Deadline White House with live reaction to the first batch of official Epstein files released by Trump's Justice ...

Abstract: By means of both strong uncertainty-handling capability of fuzzy systems and unique advantage of AUC maximization learning for imbalanced classification, a fuzzy classifier consisting of ...

Cloud operators utilize collective communication optimizers to enhance the efficiency of the single-tenant, centrally managed training clusters they manage. However, current optimizers struggle to ...