Iterative ridge regression using the aggregating algorithm

Authors: Jamil, W., Bouchachia, A.

Journal: Pattern Recognition Letters

Publication Date: 01/06/2022

Volume: 158

Pages: 34-41

ISSN: 0167-8655

DOI: 10.1016/j.patrec.2022.04.021

Abstract:

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.

https://eprints.bournemouth.ac.uk/40848/

Source: Scopus

Iterative ridge regression using the aggregating algorithm *

Authors: Jamil, W., Bouchachia, A.

Journal: PATTERN RECOGNITION LETTERS

Publication Date: 06/2022

Volume: 158

Pages: 34-41

eISSN: 1872-7344

ISSN: 0167-8655

DOI: 10.1016/j.patrec.2022.04.021

https://eprints.bournemouth.ac.uk/40848/

Source: Web of Science