Unicorn, Hare, or Tortoise? Using Machine Learning to Predict Working Memory Training Performance.

Feng, Yi; Pahor, Anja; Seitz, Aaron R; Barbour, Dennis L; Jaeggi, Susanne M

Feng, Yi; Pahor, Anja; Seitz, Aaron R; Barbour, Dennis L; Jaeggi, Susanne M.

Afiliação

Feng Y; University of California, Irvine, School of Education, School of Social Sciences (Department of Cognitive Sciences), Irvine, California, USA.
Pahor A; University of California, Riverside, Department of Psychology, Riverside, California, USA.
Seitz AR; Northeastern University, Department of Psychology, Boston, Massachusetts, USA.
Barbour DL; University of Maribor, Department of Psychology, Maribor, Slovenia.
Jaeggi SM; University of California, Riverside, Department of Psychology, Riverside, California, USA.

J Cogn ; 6(1): 53, 2023.

Article em En | MEDLINE | ID: mdl-37692193

Palavras-chave

Individual differences; Machine learning; Working memory

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Aspecto: Patient_preference Idioma: En Revista: J Cogn Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: Reino Unido

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