Improved Predictor-Corrector Algorithm

Hassan Pazira*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

The differential geometric least angle regression method consists essentially in computing the solution path. In Augugliaro et al. [4], this problem is satisfactorily solved by using a predictor-corrector (PC) algorithm, that however has the drawback of becoming intractable when working with thousands of predictors. Using the PC algorithm leads to an increase in the run times needed for computing the solution curve. In this paper we explain an improved version of the PC algorithm (IPC), proposed in Pazira et al. [9], to decrease the effects stemming from this problem for computing the solution curve. The IPC algorithm allows the dgLARS method to be implemented by using less number of arithmetic operations that leads to potential computational saving.
Original languageEnglish
Title of host publicationComputational Intelligence Methods for Bioinformatics and Biostatistics - 15th International Meeting, CIBB 2018, Revised Selected Papers
EditorsMaria Raposo, Susana Sério, Antonino Staiano, Angelo Ciaramella
PublisherSpringer
Pages99-106
Volume11925 LNBI
ISBN (Print)9783030345846
DOIs
Publication statusPublished - 2020
Event15th International Conference on Computational Intelligence Methods for Bioinformatics and Biostatistics, CIBB 2018 - Caparica, Puerto Rico
Duration: 6 Sep 20188 Sep 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference15th International Conference on Computational Intelligence Methods for Bioinformatics and Biostatistics, CIBB 2018
Country/TerritoryPuerto Rico
CityCaparica
Period06/09/201808/09/2018

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