山脊
回归
算法
计算机科学
回归分析
局部回归
弹性网正则化
人工智能
数学
机器学习
多项式回归
统计
古生物学
生物
作者
Waqas Jamil,Abdelhamid Bouchachia
标识
DOI:10.1016/j.patrec.2022.04.021
摘要
In this paper, regularised regression for sequential data is investigated and a new ridge regression algorithm is proposed. It uses the Aggregating Algorithm (AA) to devise an iterative version of ridge regression (IRR). This algorithm is called AAIRR. A competitive analysis is conducted to show that the guarantee on the performance of AAIRR is better than that of the known online ridge regression algorithms. Moreover, an empirical study is carried out on real-world datasets to demonstrate the superior performance over those state-of-the-art algorithms.
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