Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...

Abstract: Least Mean Square (LMS) and Gradient Descent (GD) algorithms are widely used in applications such as noise cancellation, echo cancellation, adaptive equalization, and neural network training ...

Abstract: The problem of designing adaptive stepsize sequences for the gradient descent method applied to convex and locally smooth functions is studied. We take an adaptive control perspective and ...