Combining LASSO-type Methods with a Smooth Transition Random Forest.
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| Title: | Combining LASSO-type Methods with a Smooth Transition Random Forest. |
|---|---|
| Authors: | Gandini, Alexandre L. D.1, agandini@gmail.com, Ziegelmann, Flavio A.1, flavioaz@mat.ufrgs.br |
| Source: | Annals of Data Science; Jun2025, Vol. 12 Issue 3, p899-928, 30p |
| Database: | Applied Science & Technology Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 185595117 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Combining LASSO-type Methods with a Smooth Transition Random Forest. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Gandini%2C+Alexandre+L%2E+D%2E%22">Gandini, Alexandre L. D.</searchLink><relatesTo>1</relatesTo>, <i>agandini@gmail.com</i><br /><searchLink fieldCode="AU" term="%22Ziegelmann%2C+Flavio+A%2E%22">Ziegelmann, Flavio A.</searchLink><relatesTo>1</relatesTo>, <i>flavioaz@mat.ufrgs.br</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Annals+of+Data+Science%22">Annals of Data Science</searchLink>; Jun2025, Vol. 12 Issue 3, p899-928, 30p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=185595117 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s40745-024-00541-4 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 30 StartPage: 899 Titles: – TitleFull: Combining LASSO-type Methods with a Smooth Transition Random Forest. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Gandini, Alexandre L. D. – PersonEntity: Name: NameFull: Ziegelmann, Flavio A. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 21985804 Numbering: – Type: volume Value: 12 – Type: issue Value: 3 Titles: – TitleFull: Annals of Data Science Type: main |
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