Sketched Stochastic Dictionary Learning for large‐scale data and application to high‐throughput mass spectrometry.
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| Title: | Sketched Stochastic Dictionary Learning for large‐scale data and application to high‐throughput mass spectrometry. |
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| Authors: | Permiakova, Olga1 (AUTHOR), Burger, Thomas2 (AUTHOR) thomas.burger@cea.fr |
| Source: | Statistical Analysis & Data Mining. Feb2022, Vol. 15 Issue 1, p43-56. 14p. |
| Database: | Academic Search Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 154579531 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Sketched Stochastic Dictionary Learning for large‐scale data and application to high‐throughput mass spectrometry. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Permiakova%2C+Olga%22">Permiakova, Olga</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Burger%2C+Thomas%22">Burger, Thomas</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> thomas.burger@cea.fr</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Statistical+Analysis+%26+Data+Mining%22">Statistical Analysis & Data Mining</searchLink>. Feb2022, Vol. 15 Issue 1, p43-56. 14p. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=154579531 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1002/sam.11542 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 14 StartPage: 43 Titles: – TitleFull: Sketched Stochastic Dictionary Learning for large‐scale data and application to high‐throughput mass spectrometry. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Permiakova, Olga – PersonEntity: Name: NameFull: Burger, Thomas IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 02 Text: Feb2022 Type: published Y: 2022 Identifiers: – Type: issn-print Value: 19321864 Numbering: – Type: volume Value: 15 – Type: issue Value: 1 Titles: – TitleFull: Statistical Analysis & Data Mining Type: main |
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