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 ...

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: In multiagent reinforcement learning (MARL), agents must learn to cooperate by observing the environment and selecting actions that maximize their rewards. However, this learning process can ...

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 ...