Dive deep into the Muon Optimizer and learn how it enhances dense linear layers using the Newton-Schulz method combined with momentum. Perfect for machine learning enthusiasts and researchers ...

This paper reviews the range of graphical methods available for use with nonparametric procedures, and provides examples of the use of many of the methods under the broad groupings: two-sample ...

We introduce a fast stepwise regression method, called the orthogonal greedy algorithm (OGA), that selects input variables to enter a p-dimensional linear regression model (with p ≫ n, the sample size ...

There’s long been a push to stop writing code as a sequence of lines and go to something graphical, which has been very successful in some areas and less so in others. But even when you use ...

This paper studies the optimal consensus control of linear multi-agent systems with deceptive agents or traitorous agents. An error-effort ratio is defined to quantify an agent's income in the ...