paper

A Simple Illustration of Interleaved Learning using Kalman Filter for Linear Least Squares

arXiv:2310.03751 · doi:10.1016/j.rinam.2023.100409

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.

8 pages, 1 figure

References in corpus (1)

A Simple Illustration of Interleaved Learning using Kalman Filter for Linear Least Squares · wovepaper