Algorithms for Sparse Support Vector Machines.
Julia
discriminant analysis
sparsity
unsupervised learning
Journal
Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America
ISSN: 1061-8600
Titre abrégé: J Comput Graph Stat
Pays: United States
ID NLM: 101470926
Informations de publication
Date de publication:
2023
2023
Historique:
pmc-release:
01
01
2024
medline:
20
11
2023
pubmed:
20
11
2023
entrez:
20
11
2023
Statut:
ppublish
Résumé
Many problems in classification involve huge numbers of irrelevant features. Variable selection reveals the crucial features, reduces the dimensionality of feature space, and improves model interpretation. In the support vector machine literature, variable selection is achieved by
Identifiants
pubmed: 37982129
doi: 10.1080/10618600.2022.2146697
pmc: PMC10656054
mid: NIHMS1862287
doi:
Types de publication
Journal Article
Langues
eng
Pagination
1097-1108Subventions
Organisme : NHGRI NIH HHS
ID : R01 HG006139
Pays : United States
Organisme : NIGMS NIH HHS
ID : R35 GM141798
Pays : United States
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