A Simple Illustration of Interleaved Learning using Kalman Filter for
Linear Least Squares
Results in Applied Mathematics (RAM), 2023
Abstract
Interleaved learning in machine learning algorithms is a biologically inspired training method with promising results. In this short note, we illustrate the interleaving mechanism via a simple statistical and optimization framework based on Kalman Filter for Linear Least Squares.
View on arXivComments on this paper
