Výsledky vyhledávání - "Mixture of experts models"

Model selection by penalization in mixture of experts models with a non-asymptotic approach

Autor: Nguyen, Trungtin, Chamroukhi, Faicel, Nguyen, Hien Duy, Forbes, Florence

Publikováno v: JDS 2022-53èmes Journées de Statistique de la Société Française de Statistique (SFdS)
JDS 2022-53èmes Journées de Statistique de la Société Française de Statistique (SFdS), Jun 2022, Lyon, France. pp.1-6

International audience; This study is devoted to the problem of model selection among a collection of Gaussian-gated localized mixtures of experts models characterized by the number of mixture components, and the complexity of Gaussian mean experts,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______165::0e5456786a28654da782f638842bbbce
https://hal.science/hal-03663348/document

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A Sparse Mixture-of-Experts Model With Screening of Genetic Associations to Guide Disease Subtyping

Autor: Marie Courbariaux, Kylliann De Santiago, Cyril Dalmasso, Fabrice Danjou, Samir Bekadar, Jean-Christophe Corvol, Maria Martinez, Marie Szafranski, Christophe Ambroise

Publikováno v: Frontiers in Genetics
Frontiers in Genetics, 2022, Statistical Methods, Computing, and Resources for Genome-Wide Association Studies, Volume II, 13, ⟨10.3389/fgene.2022.859462⟩

Motivation: Identifying new genetic associations in non-Mendelian complex diseases is an increasingly difficult challenge. These diseases sometimes appear to have a significant component of heritability requiring explanation, and this missing heritab

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c38f45d52b8d881b830feef57a06356e
https://pubmed.ncbi.nlm.nih.gov/35734430

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A sparse logistic mixture model for disease subtyping with clinical and genetic data

Autor: Courbariaux, Marie, Szafranski, Marie, Dalmasso, Cyril, Danjou, Fabrice, Bekadar, Samir, Corvol, Jean-Christophe, Martinez, Maria, Ambroise, Christophe

This work proposes an original method for disease subtyping from both longitudinal clinical variables and genetic markers via a mixture of regressions model, with logistic weights function of a potentially large number of genetic variables. In order

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::c811f41cee6903c41961eb577db2802e
https://hal.archives-ouvertes.fr/hal-01822237v4/document

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Akademický článek

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Non-asymptotic oracle inequalities for the Lasso in high-dimensional mixture of experts

Autor: Nguyen, Trungtin, Nguyen, Hien D, Chamroukhi, Faicel, Mclachlan, Geoffrey J

Mixture of experts (MoE) has a well-principled finite mixture model construction for prediction, allowing the gating network (mixture weights) to learn from the predictors (explanatory variables) together with the experts' network (mixture component

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::58bdfa4e94fe8d0ecd4f2c8689e1c423

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