Interpretable Machine Learning: Moving from Mythos to Diagnostics.
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| Title: | Interpretable Machine Learning: Moving from Mythos to Diagnostics. |
|---|---|
| Authors: | CHEN, VALERIE1, LI, JEFFREY2, JOON SIK KIM3, PLUMB, GREGORY1, TALWALKAR, AMEET4 |
| Source: | Communications of the ACM; Aug2022, Vol. 65 Issue 8, p43-50, 8p, 6 Diagrams |
| Database: | Applied Science & Technology Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1145/3546036 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 8 StartPage: 43 Titles: – TitleFull: Interpretable Machine Learning: Moving from Mythos to Diagnostics. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: CHEN, VALERIE – PersonEntity: Name: NameFull: LI, JEFFREY – PersonEntity: Name: NameFull: JOON SIK KIM – PersonEntity: Name: NameFull: PLUMB, GREGORY – PersonEntity: Name: NameFull: TALWALKAR, AMEET IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 08 Text: Aug2022 Type: published Y: 2022 Identifiers: – Type: issn-print Value: 00010782 Numbering: – Type: volume Value: 65 – Type: issue Value: 8 Titles: – TitleFull: Communications of the ACM Type: main |
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