A Simple Illustration of Interleaved Learning using Kalman Filter for Linear Least Squares
arXiv:2310.03751v1h-index: 6
Originality Synthesis-oriented
AI Analysis
This is an incremental illustration for researchers interested in biologically inspired training methods.
The paper tackled the problem of illustrating interleaved learning in machine learning by using a Kalman Filter framework for Linear Least Squares, resulting in a simple statistical and optimization demonstration without concrete numerical results.
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.