Embedded feature selection methods with high dimensionality for elastic net and logistic regression models /

Bibliographic Details
Main Author: Alharthi, Aiedh Mrisi, 1974-, author 644809
Format: software, multimedia
Language:eng
Published: Johor Bahru, Johor : Universiti Teknologi Malaysia, 2022
Subjects:
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author Alharthi, Aiedh Mrisi, 1974-, author 644809
author_facet Alharthi, Aiedh Mrisi, 1974-, author 644809
author_sort Alharthi, Aiedh Mrisi, 1974-, author 644809
collection OCEAN
description
first_indexed 2024-03-05T17:11:20Z
format software, multimedia
id KOHA-OAI-TEST:602202
institution Universiti Teknologi Malaysia - OCEAN
language eng
last_indexed 2024-09-23T23:40:22Z
publishDate 2022
publisher Johor Bahru, Johor : Universiti Teknologi Malaysia,
record_format dspace
spelling KOHA-OAI-TEST:6022022024-08-04T00:59:32ZEmbedded feature selection methods with high dimensionality for elastic net and logistic regression models / Alharthi, Aiedh Mrisi, 1974-, author 644809 software, multimediaJohor Bahru, Johor : Universiti Teknologi Malaysia,2022engBibliography: p. 167-188.KK-FSFeature selection (Machine learning)
spellingShingle Feature selection (Machine learning)
Alharthi, Aiedh Mrisi, 1974-, author 644809
Embedded feature selection methods with high dimensionality for elastic net and logistic regression models /
title Embedded feature selection methods with high dimensionality for elastic net and logistic regression models /
title_full Embedded feature selection methods with high dimensionality for elastic net and logistic regression models /
title_fullStr Embedded feature selection methods with high dimensionality for elastic net and logistic regression models /
title_full_unstemmed Embedded feature selection methods with high dimensionality for elastic net and logistic regression models /
title_short Embedded feature selection methods with high dimensionality for elastic net and logistic regression models /
title_sort embedded feature selection methods with high dimensionality for elastic net and logistic regression models
topic Feature selection (Machine learning)
work_keys_str_mv AT alharthiaiedhmrisi1974author644809 embeddedfeatureselectionmethodswithhighdimensionalityforelasticnetandlogisticregressionmodels