Tight mixed-integer optimization formulations for prescriptive trees.
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| Title: | Tight mixed-integer optimization formulations for prescriptive trees. |
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| Authors: | Biggs, Max1, biggsm@darden.virginia.edu, Perakis, Georgia2, georgiap@mit.edu |
| Source: | Machine Learning; Jul2025, Vol. 114 Issue 7, p1-47, 47p |
| Database: | Applied Science & Technology Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 185646707 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Tight mixed-integer optimization formulations for prescriptive trees. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Biggs%2C+Max%22">Biggs, Max</searchLink><relatesTo>1</relatesTo>, <i>biggsm@darden.virginia.edu</i><br /><searchLink fieldCode="AU" term="%22Perakis%2C+Georgia%22">Perakis, Georgia</searchLink><relatesTo>2</relatesTo>, <i>georgiap@mit.edu</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Machine+Learning%22">Machine Learning</searchLink>; Jul2025, Vol. 114 Issue 7, p1-47, 47p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=185646707 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10994-025-06771-8 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 47 StartPage: 1 Titles: – TitleFull: Tight mixed-integer optimization formulations for prescriptive trees. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Biggs, Max – PersonEntity: Name: NameFull: Perakis, Georgia IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: Jul2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 08856125 Numbering: – Type: volume Value: 114 – Type: issue Value: 7 Titles: – TitleFull: Machine Learning Type: main |
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