Výsledky vyhledávání - "Lefebvre, Alexandra"

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Modèles graphiques probabilistes pour la génétique statistique et l'analyse de survie. Application au syndrome de Lynch

Autor: Lefebvre, Alexandra

Probabilistic graphical models are omniscient in the study of complex systems involving latent variables. The sum-product algorithm exploits the graph structure for reducing the algorithmic complexity of an inference. In this thesis, we are intereste

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______166::05e9cccf04ef5838ba3bff4eeb6c15ba
https://theses.hal.science/tel-03771227

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Combining Transcranial Direct Current Stimulation and Transcutaneous Electrical Nerve Stimulation to Relieve Persistent Pain in a Patient Suffering from Complex Regional Pain Syndrome: A Case Report

Autor: Houde,Francis, Harvey,Marie-Philippe, Tremblay Labrecque,Pierre-FranÃ§ois, Lamarche,Francis, Lefebvre,Alexandra, LÃ©onard,Guillaume

Publikováno v: Journal of Pain Research.

Francis Houde, 1– 3 Marie-Philippe Harvey, 1, 3 Pierre-François Tremblay Labrecque, 1, 3 Francis Lamarche, 1, 3 Alexandra Lefebvre, 1, 3 Guillaume Leonard 1, 3 1Research Center on Aging, CIUSSS de l’Estrie - CHUS, Université de Sherbrooke, Sher

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dovemedicalp::9ef1f41b7069e216c193c95e2d6d357e
https://www.dovepress.com/combining-transcranial-direct-current-stimulation-and-transcutaneous-e-peer-reviewed-article-JPR

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Akademický článek

Computing Individual Risks Based on Family History in Genetic Disease in the Presence of Competing Risks.

Autor: Nuel, Gregory^1,2, Lefebvre, Alexandra^3,4, Bouaziz, Olivier⁵

Publikováno v: Computational & Mathematical Methods in Medicine. 11/9/2017, p1-14. 14p.

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A sum-product algorithm with polynomials for computing exact derivatives of the likelihood in Bayesian networks

Autor: Lefebvre, Alexandra, Nuel, Grégory

Publikováno v: Proceedings of Machine Learning Research
Proceedings of Machine Learning Research, PMLR, 2018, 72, pp.201-212

International audience; We consider a Bayesian network with a parameter θ. It is well known that the probability of an evidence conditional on θ (the likelihood) can be computed through a sum-product of potentials. In this work we propose a polynom

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::c85f14e2d34dd724c9dc54897f4cc2e6
https://hal.archives-ouvertes.fr/hal-02350422/file/VersionHAL.pdf

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