Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Laurent Rouvière"'
Cet ouvrage expose, de manière détaillée avec exemples à l'appui, différentes façons de répondre à un des problèmes statistiques les plus courants : la régression.Cette nouvelle édition se décompose en cinq parties. La première donne les
Publikováno v:
Journal of Multivariate Analysis
Journal of Multivariate Analysis, 2022, 192, pp.article n° 105075. ⟨10.1016/j.jmva.2022.105075⟩
Journal of Multivariate Analysis, 2022, 192, pp.article n° 105075. ⟨10.1016/j.jmva.2022.105075⟩
International audience; It is well known that the classical single linkage algorithm usually fails to identify clusters in the presence of outliers. In this paper, we propose a new version of this algorithm, and we study its mathematical performances
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::818ff313713881534b101f36b6b0b33a
Autor:
Suzanne, Dufresne, Cindy, Richard, Arthur, Dieumegard, Luz, Orfila, Gregory, Delpon, Sophie, Chiavassa, Brice, Martin, Laurent, Rouvière, Jean-Michel, Escoffre, Edward, Oujagir, Baudouin, Denis de Senneville, Ayache, Bouakaz, Nathalie, Rioux-Leclercq, Vincent, Potiron, Amélie, Rébillard
Publikováno v:
Cancers
Cancers, MDPI, 2021, 13 (21), pp.5402. ⟨10.3390/cancers13215402⟩
Cancers, 2021, 13 (21), pp.5402. ⟨10.3390/cancers13215402⟩
Volume 13
Issue 21
Cancers, Vol 13, Iss 5402, p 5402 (2021)
Cancers, MDPI, 2021, 13 (21), pp.5402. ⟨10.3390/cancers13215402⟩
Cancers, 2021, 13 (21), pp.5402. ⟨10.3390/cancers13215402⟩
Volume 13
Issue 21
Cancers, Vol 13, Iss 5402, p 5402 (2021)
Simple Summary Physical activity is increasingly incorporated in cancer patient health care as a strategy to improve survival outcomes. However, its effects on treatment efficiency remains unclear. The aim of our preclinical study is to evaluate whet
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid_dedup__::25dbb4451a30617f30e8d4cc9aab56fa
https://hal.archives-ouvertes.fr/hal-03453439
https://hal.archives-ouvertes.fr/hal-03453439
Publikováno v:
Computational Statistics
Computational Statistics, 2019, 34 (4), pp.1613-1648. ⟨10.1007/s00180-019-00894-y⟩
Computational Statistics, Springer Verlag, 2019, 34 (4), pp.1613-1648. ⟨10.1007/s00180-019-00894-y⟩
Computational Statistics, 2019, 34 (4), pp.1613-1648. ⟨10.1007/s00180-019-00894-y⟩
Computational Statistics, Springer Verlag, 2019, 34 (4), pp.1613-1648. ⟨10.1007/s00180-019-00894-y⟩
We consider the problem of predicting a categorical variable based on groups of inputs. Some methods have already been proposed to elaborate classification rules based on groups of variables (e.g. group lasso for logistic regression). However, to our
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9de686139e93f6c5930c8c9081cadf70
https://doi.org/10.1007/s00180-019-00894-y
https://doi.org/10.1007/s00180-019-00894-y
Autor:
Laurent Rouvière, Pierre-Yves de Müllenheim, Mathieu Emily, Alexis Le Faucheur, Adrien Kaladji, Guillaume Mahé, Ségolène Chaudru
Publikováno v:
Journal of Applied Physiology Respiratory Environmental and Exercise Physiology
Journal of Applied Physiology Respiratory Environmental and Exercise Physiology, 2021, 131 (1), pp.207-219. ⟨10.1152/japplphysiol.00441.2020⟩
Journal of Applied Physiology Respiratory Environmental and Exercise Physiology, 2021, 131 (1), pp.207-219. ⟨10.1152/japplphysiol.00441.2020⟩
International audience; The objective of the study was to investigate the effect of recovery time on walking capacity (WC) throughout repeated maximal walking bouts in symptomatic lower-extremity peripheral artery disease (PAD). The effect of recover
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e3e836530378a4df157e581b341f525a
https://hal.science/hal-03246582
https://hal.science/hal-03246582
Cet ouvrage expose de manière détaillée, exemples à l'appui, différentes façons de répondre à un des problèmes statistiques les plus courants : la régression. Cette nouvelle édition se décompose en cinq parties. La première donne les gra
Publikováno v:
Machine Learning
Machine Learning, Springer Verlag, 2019, 108 (6), pp.971-992. ⟨10.1007/s10994-019-05787-1⟩
Machine Learning, 2019, 108 (6), pp.971-992. ⟨10.1007/s10994-019-05787-1⟩
Machine Learning, Springer Verlag, 2019, 108 (6), pp.971-992. ⟨10.1007/s10994-019-05787-1⟩
Machine Learning, 2019, 108 (6), pp.971-992. ⟨10.1007/s10994-019-05787-1⟩
International audience; Gradient tree boosting is a prediction algorithm that sequentially produces a model in the form of linear combinations of decision trees, by solving an infinite-dimensional optimization problem. We combine gradient boosting an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::812cda98fa324f2a46483a53d3b28f15
https://hal.sorbonne-universite.fr/hal-01723843
https://hal.sorbonne-universite.fr/hal-01723843
Publikováno v:
Nonparametric statistics, Springer proceedings in Mathematics and Statistics, 3rd ISNPS, Avignon, 2016.
Nonparametric statistics, Springer proceedings in Mathematics and Statistics, 3rd ISNPS, Avignon, 2016., 2018, ⟨10.1007/978-3-319-96941-1_3⟩
Springer Proceedings in Mathematics & Statistics ISBN: 9783319969404
Nonparametric statistics, Springer proceedings in Mathematics and Statistics, 3rd ISNPS, Avignon, 2016., 2018, ⟨10.1007/978-3-319-96941-1_3⟩
Springer Proceedings in Mathematics & Statistics ISBN: 9783319969404
This contribution presents a general multiplicative bias reduction strategy for nonparametric regression. The approach is most effective when applied to an oversmooth pilot estimator, for which the bias dominates the standard error. The practical use
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ec2fe73ba6c6d87b035fdc004bf2ef4d
https://hal.science/hal-00408696
https://hal.science/hal-00408696
Publikováno v:
IEEE Transactions on Nuclear Science
IEEE Transactions on Nuclear Science, Institute of Electrical and Electronics Engineers, 2010, 57 (5), pp.2831-2840. ⟨10.1109/TNS.2010.2054110⟩
IEEE Transactions on Nuclear Science, Institute of Electrical and Electronics Engineers, 2010, 57 (5), pp.2831-2840. 〈10.1109/TNS.2010.2054110〉
IEEE Transactions on Nuclear Science, 2010, 57 (5), pp.2831-2840. ⟨10.1109/TNS.2010.2054110⟩
IEEE Transactions on Nuclear Science, Institute of Electrical and Electronics Engineers, 2010, 57 (5), pp.2831-2840. ⟨10.1109/TNS.2010.2054110⟩
IEEE Transactions on Nuclear Science, Institute of Electrical and Electronics Engineers, 2010, 57 (5), pp.2831-2840. 〈10.1109/TNS.2010.2054110〉
IEEE Transactions on Nuclear Science, 2010, 57 (5), pp.2831-2840. ⟨10.1109/TNS.2010.2054110⟩
The energy spectra of gamma-rays emitted by radioisotopes act as finger prints that enable identification of the source. Such identification from low-resolution NaI detectors over short time periods is challenging for several reasons, including the P
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::174952fa9f81e25cc083ec592035ba4a
https://doi.org/10.1109/tns.2010.2054110
https://doi.org/10.1109/tns.2010.2054110