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

Authors: Majnu John, Yihren Wu
Journal: arXiv
mental health psychology open access

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.