by instadatahelp | Aug 31, 2023 | AI Blogs
arXivLabs is a platform where collaborators can create and share new features on our website. We collaborate with individuals and organizations who share our values of openness, community, excellence, and user data privacy. We only work with partners who adhere to...
by instadatahelp | Aug 31, 2023 | AI Blogs
Buffered Asynchronous SGD for Byzantine Learning Yi-Rui Yang, Wu-Jun Li; 24(204):1−62, 2023. Abstract Distributed learning has become a popular area of research due to its wide range of applications in cluster-based large-scale learning, federated learning, edge...
by instadatahelp | Aug 31, 2023 | AI Blogs
Expected goal models have become popular in recent years, but their interpretability is often limited, particularly when trained using black-box methods. To address this issue, explainable artificial intelligence tools have been developed to enhance model transparency...
by instadatahelp | Aug 31, 2023 | AI Blogs
Convergence of Stochastic Gradient Descent with Bandwidth-based Step Size Xiaoyu Wang, Ya-xiang Yuan; 24(48):1−49, 2023. Abstract This paper introduces a novel step-size framework for the stochastic gradient descent (SGD) method, called bandwidth-based step sizes....
by instadatahelp | Aug 31, 2023 | AI Blogs
We present the utilization of a reduction property found in the penalty-based formulation of pseudo-Boolean polynomials as a means to reduce dimensionality in cluster analysis procedures. Through our experiments, we demonstrate that multidimensional datasets, such as...
