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Practical Parallel Algorithms for Non-Monotone Submodular Maximization

Practical Parallel Algorithms for Non-Monotone Submodular Maximization

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_crossref_primary_10_1613_jair_1_16801

Practical Parallel Algorithms for Non-Monotone Submodular Maximization

About this item

Full title

Practical Parallel Algorithms for Non-Monotone Submodular Maximization

Journal title

The Journal of artificial intelligence research, 2025-01, Vol.82, p.39-75

Language

English

Formats

More information

Scope and Contents

Contents

Submodular maximization has found extensive applications in various domains within the field of artificial intelligence, including but not limited to machine learning, computer vision, and natural language processing. With the increasing size of datasets in these domains, there is a pressing need to develop efficient and parallelizable algorithms f...

Alternative Titles

Full title

Practical Parallel Algorithms for Non-Monotone Submodular Maximization

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_crossref_primary_10_1613_jair_1_16801

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_crossref_primary_10_1613_jair_1_16801

Other Identifiers

ISSN

1076-9757

E-ISSN

1076-9757

DOI

10.1613/jair.1.16801

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