A simple illustration of interleaved learning using Kalman filter for linear least squares

IF 1.4 Q2 MATHEMATICS, APPLIED Results in Applied Mathematics Pub Date : 2023-11-01 DOI:10.1016/j.rinam.2023.100409
Majnu John , Yihren Wu
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引用次数: 0

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.

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一个简单的例子,交错学习使用卡尔曼滤波线性最小二乘
机器学习算法中的交错学习是一种生物学启发的训练方法,具有良好的效果。在这篇简短的文章中,我们通过一个基于线性最小二乘卡尔曼滤波的简单统计和优化框架来说明交错机制。
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来源期刊
Results in Applied Mathematics
Results in Applied Mathematics Mathematics-Applied Mathematics
CiteScore
3.20
自引率
10.00%
发文量
50
审稿时长
23 days
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