Gradient Tree Boosting for Hierarchical Data.
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| Title: | Gradient Tree Boosting for Hierarchical Data. |
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| Authors: | Salditt M; Department of Psychology, University of Münster, Münster, Germany., Humberg S; Department of Psychology, University of Münster, Münster, Germany., Nestler S; Department of Psychology, University of Münster, Münster, Germany. |
| Source: | Multivariate behavioral research [Multivariate Behav Res] 2023 Sep-Oct; Vol. 58 (5), pp. 911-937. Date of Electronic Publication: 2023 Jan 05. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Taylor & Francis Group Country of Publication: United States NLM ID: 0046052 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1532-7906 (Electronic) Linking ISSN: 00273171 NLM ISO Abbreviation: Multivariate Behav Res Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 36602080 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Gradient Tree Boosting for Hierarchical Data. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Salditt+M%22">Salditt M</searchLink>; Department of Psychology, University of Münster, Münster, Germany.<br /><searchLink fieldCode="AU" term="%22Humberg+S%22">Humberg S</searchLink>; Department of Psychology, University of Münster, Münster, Germany.<br /><searchLink fieldCode="AU" term="%22Nestler+S%22">Nestler S</searchLink>; Department of Psychology, University of Münster, Münster, Germany. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%220046052%22">Multivariate behavioral research</searchLink> [Multivariate Behav Res] 2023 Sep-Oct; Vol. 58 (5), pp. 911-937. <i>Date of Electronic Publication: </i>2023 Jan 05. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Taylor+%26+Francis+Group%22">Taylor & Francis Group </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>0046052 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1532-7906 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2200273171%22">00273171 </searchLink><i>NLM ISO Abbreviation: </i>Multivariate Behav Res <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=36602080 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/00273171.2022.2146638 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 911 Titles: – TitleFull: Gradient Tree Boosting for Hierarchical Data. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Salditt M – PersonEntity: Name: NameFull: Humberg S – PersonEntity: Name: NameFull: Nestler S IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: 2023 Sep-Oct Type: published Y: 2023 Identifiers: – Type: issn-electronic Value: 1532-7906 Numbering: – Type: volume Value: 58 – Type: issue Value: 5 Titles: – TitleFull: Multivariate behavioral research Type: main |
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