A Simple Illustration of Interleaved Learning using Kalman Filter for Linear Least Squares
Signal Processing
2023-11-14 v1 Machine Learning
Neurons and Cognition
Applications
Machine Learning
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.
Cite
@article{arxiv.2310.03751,
title = {A Simple Illustration of Interleaved Learning using Kalman Filter for Linear Least Squares},
author = {Majnu John and Yihren Wu},
journal= {arXiv preprint arXiv:2310.03751},
year = {2023}
}
Comments
8 pages, 1 figure