Representation Learning.
The article discusses representation learning (RL), with a particular focus given to its use within the context of historical practice. Topics mentioned include vectors and vector spaces, artificial neural networks and the relationship between texts and images, full-text search, and optical characte...
| Publicado en: | American Historical Review Vol. 128; no. 3; pp. 1350 - 1354 |
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| Formato: | Artículo |
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Oxford University Press / USA
Sep2023
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=172362156&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 172362156 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00028762 AHS jtl: American Historical Review issn: 00028762 maglogo: N pubinfo: dt: Sep2023 vid: 128 iid: 3 pid: 622 pub: Oxford University Press / USA artinfo: ui: 172362156 10.1093/ahr/rhad363 ppf: 1350 ppct: 4 formats: fmt: – @attributes: type: T – @attributes: type: P size: 88KB tig: atl: Representation Learning. aug: au: Schmidt, Benjamin affil: Vice-President of Information Design at Nomic AI, New York, US su: Machine learning Historical research methods Vector spaces Artificial neural networks Keyword searching Optical character recognition sug: subj: Machine learning Historical research methods Vector spaces Artificial neural networks Keyword searching Optical character recognition ab: The article discusses representation learning (RL), with a particular focus given to its use within the context of historical practice. Topics mentioned include vectors and vector spaces, artificial neural networks and the relationship between texts and images, full-text search, and optical character recognition (OCR). pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: © 2019 The American Historical Association. item: American Historical Review holder: Oxford University Press / USA dt: @attributes: year: 2023 holdings: @attributes: islocal: N |
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