Recherche - Archive ouverte HAL

	Pour les 27 documents Envoyer sur ORCID RSS ATOM Exporter BibTeX XML-TEI CSV RTF EndNote PDF HTML Export avancé	Page :	triés par Pertinence Auteur A→Z Auteur Z→A Titre A→Z Titre Z→A Date de publication croissante Date de publication décroissante Date de dépôt croissante Date de dépôt décroissante

		An ℓ 1 -oracle inequality for the Lasso in finite mixture of multivariate Gaussian regression models. Emilie Devijver ESAIM: Probability and Statistics, 2015 Article dans une revue hal-01075338v2	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Optimal Block Diagonal Covariance Matrices in Large Scale Gaussian Graphical Models Mélina Gallopin , Emilie Devijver StatMathAppli 2015, Aug 2015, Fréjus, France Communication dans un congrès hal-01256226v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Model-based clustering for high-dimension data. Application to functional data. Emilie Devijver 2014 Pré-publication, Document de travail hal-01060063v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Nonlinear mixed effects modeling and warping for functional data using B-splines Gerda Claeskens , Emilie Devijver , Irène Gijbels Electronic Journal of Statistics , 2021, 15 (2), pp.5245-5282. ⟨10.1214/21-EJS1917⟩ Article dans une revue hal-03366890v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Block-diagonal covariance selection for high-dimensional Gaussian graphical models Emilie Devijver , Mélina Gallopin Journal of the American Statistical Association, 2016, pp.1 - 9. ⟨10.1080/01621459.2016.1247002⟩ Article dans une revue hal-01227608v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Transductive Bounds for the Multi-class Majority Vote Classifier Vasilii Feofanov , Emilie Devijver , Massih-Reza Amini Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-2019), Jan 2019, Honolulu, United States. pp.3566-3573, ⟨10.1609/aaai.v33i01.33013566⟩ Communication dans un congrès hal-02414026v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Mixture of segmentation for heterogeneous functional data Vincent Brault , Emilie Devijver , Charlotte Laclau 2023 Pré-publication, Document de travail hal-04036482v2	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Discussion on "Minimal penalties and the slope heuristic: a survey" by Sylvain Arlot Emilie Devijver Journal de la Société Française de Statistique, 2019, 160 (3), pp.119-120 Article dans une revue hal-03094408v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Entropy-Based Discovery of Summary Causal Graphs in Time Series Charles Assaad , Emilie Devijver , Eric Gaussier Entropy, 2022, 24 (8), pp.1156. ⟨10.3390/e24081156⟩ Article dans une revue hal-03765359v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Wrapper feature selection with partially labeled data Vasilii Feofanov , Emilie Devijver , Massih-Reza Amini Applied Intelligence, 2022, ⟨10.1007/s10489-021-03076-w⟩ Article dans une revue hal-03765597v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Glass-forming ability of elemental zirconium Sébastien Becker , Emilie Devijver , Rémi Molinier , Noël Jakse Physical Review B, 2020, 102 (10), pp.104205. ⟨10.1103/PhysRevB.102.104205⟩ Article dans une revue hal-03181321v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Prediction of the Nash through Penalized Mixture of Logistic Regression Models Marie Morvan , Emilie Devijver , Madison Giacofci , Valérie Monbet Annals of Applied Statistics, 2021, 15 (2), pp.952-970. ⟨10.1214/20-AOAS1409⟩ Article dans une revue hal-02151564v2	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		A Conditional Mutual Information Estimator for Mixed Data and an Associated Conditional Independence Test Lei Zan , Anouar Meynaoui , Charles K Assaad , Emilie Devijver , Eric Gaussier Entropy, 2022, 24 (9), pp.1234. ⟨10.3390/e24091234⟩ Article dans une revue hal-03806590v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Scaling Causal Inference in Additive Noise Models Charles K. Assaad , Emilie Devijver , Éric Gaussier , Ali Ait-Bachir 2019 Ouvrages halshs-02404727v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Unsupervised topological learning approach of crystal nucleation in pure Tantalum Sébastien Becker , Emilie Devijver , Rémi Molinier , Noël Jakse Machine Learning and the Physical Sciences - Workshop at the 35th Conference on Neural Information Processing Systems (NeurIPS), Dec 2021, Vancouver, Canada. Poster de conférence hal-03559641v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Prediction regions through Inverse Regression Emilie Devijver , Emeline Perthame Journal of Machine Learning Research, 2020, 21 (113), pp.1-24 Article dans une revue hal-01840234v3	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Transductive Bounds for the Multi-class Majority Vote Classifier Vasilii Feofanov , Emilie Devijver , Massih-Reza Amini Proceedings of the AAAI Conference on Artificial Intelligence, 2019, 33, pp.3566-3573. ⟨10.1609/aaai.v33i01.33013566⟩ Article dans une revue hal-01980449v2	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Uncertain Trees: Dealing with Uncertain Inputs in Regression Trees Myriam Tami , Marianne Clausel , Emilie Devijver , Adrien Dulac , Éric Gaussier , et al. 2018 Autre publication scientifique hal-03050675v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Analyse fonctionnelle de trajectoires de souris en cognition sociale Jean-Charles Quinton , Emilie Devijver , Adeline Leclercq-Samson , Annique Smeding Congrès International de Psychologie Sociale en Langue Française, Jul 2018, Louvain-la-Neuve, Belgique Communication dans un congrès hal-01839425v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Finite mixture regression: a sparse variable selection by model selection for clustering. Emilie Devijver Electronic Journal of Statistics , 2015 Article dans une revue hal-01060079v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		A Mixed Noise and Constraint-Based Approach to Causal Inference in Time Series Charles K. Assaad , Emilie Devijver , Eric Gaussier , Ali Ait-Bachir Machine Learning and Knowledge Discovery in Databases. Research Track, 12975, Springer International Publishing; Springer International Publishing, pp.453-468, 2021, Machine Learning and Knowledge Discovery in Databases. Research Track, ⟨10.1007/978-3-030-86486-6_28⟩ Chapitre d'ouvrage hal-03367789v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Discovery of Extended Summary Graphs in Time Series Charles K Assaad , Emilie Devijver , Eric Gaussier 2022 Pré-publication, Document de travail hal-03815841v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Smooth And Consistent Probabilistic Regression Trees Sami Alkhoury , Emilie Devijver , Marianne Clausel , Myriam Tami , Éric Gaussier , et al. NeurIPS 2020 - 34th International Conference on Neural Information Processing Systems, Dec 2020, Virtuelle, France. pp.1-11 Communication dans un congrès hal-03050168v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Functional mixed effect models for mouse-tracking data in social cognition Jean-Charles Quinton , Emilie Devijver , Adeline Samson , Annique Smeding ESCON Transfer of Knowledge Conference, Aug 2017, Gdansk, Poland Communication dans un congrès hal-01966806v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		JOINT RANK AND VARIABLE SELECTION FOR PARSIMONIOUS ESTIMATION IN A HIGH-DIMENSIONAL FINITE MIXTURE REGRESSION MODEL Emilie Devijver 2017 Pré-publication, Document de travail hal-01099296v2	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Clustering electricity consumers using high-dimensional regression mixture models Emilie Devijver , Yannig Goude , Jean-Michel Poggi 2015 Pré-publication, Document de travail hal-01169324v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		High-dimensional mixture regression models, application to functional data Emilie Devijver Statistics [math.ST]. Université Paris Sud (Paris 11), 2015. English. ⟨NNT : ⟩ Thèse tel-01695257v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More

Machine Learning and Knowledge Discovery in Databases. Research Track, 12975, Springer International Publishing; Springer International Publishing, pp.453-468, 2021, Machine Learning and Knowledge Discovery in Databases. Research Track, ⟨10.1007/978-3-030-86486-6_28⟩

Filtrer vos résultats

An ℓ 1 -oracle inequality for the Lasso in finite mixture of multivariate Gaussian regression models.

Optimal Block Diagonal Covariance Matrices in Large Scale Gaussian Graphical Models

Model-based clustering for high-dimension data. Application to functional data.

Nonlinear mixed effects modeling and warping for functional data using B-splines

Block-diagonal covariance selection for high-dimensional Gaussian graphical models

Transductive Bounds for the Multi-class Majority Vote Classifier

Mixture of segmentation for heterogeneous functional data

Discussion on "Minimal penalties and the slope heuristic: a survey" by Sylvain Arlot

Entropy-Based Discovery of Summary Causal Graphs in Time Series

Wrapper feature selection with partially labeled data

Glass-forming ability of elemental zirconium

Prediction of the Nash through Penalized Mixture of Logistic Regression Models

A Conditional Mutual Information Estimator for Mixed Data and an Associated Conditional Independence Test

Scaling Causal Inference in Additive Noise Models

Unsupervised topological learning approach of crystal nucleation in pure Tantalum

Prediction regions through Inverse Regression

Transductive Bounds for the Multi-class Majority Vote Classifier

Uncertain Trees: Dealing with Uncertain Inputs in Regression Trees

Analyse fonctionnelle de trajectoires de souris en cognition sociale

Finite mixture regression: a sparse variable selection by model selection for clustering.

A Mixed Noise and Constraint-Based Approach to Causal Inference in Time Series

Discovery of Extended Summary Graphs in Time Series

Smooth And Consistent Probabilistic Regression Trees

Functional mixed effect models for mouse-tracking data in social cognition

JOINT RANK AND VARIABLE SELECTION FOR PARSIMONIOUS ESTIMATION IN A HIGH-DIMENSIONAL FINITE MIXTURE REGRESSION MODEL

Clustering electricity consumers using high-dimensional regression mixture models

High-dimensional mixture regression models, application to functional data