Auswahl der wissenschaftlichen Literatur zum Thema „Variables hiérarchiques“
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Zeitschriftenartikel zum Thema "Variables hiérarchiques"
de La Rupelle, Géraldine, Cameron Guthrie und Michel Kalika. „La relation entre l’intensité perçue d’utilisation de la messagerie électronique et la qualité de la relation hiérarchique“. Articles 70, Nr. 1 (27.03.2015): 157–85. http://dx.doi.org/10.7202/1029284ar.
Der volle Inhalt der QuelleBenabdeljlil, Nadia. „Les modes de management des entreprises au Maroc : entre contingences culturelles et économiques“. Notes de recherche 20, Nr. 2 (16.02.2012): 89–122. http://dx.doi.org/10.7202/1008518ar.
Der volle Inhalt der QuelleFall, Amar. „Justice organisationnelle, reconnaissance au travail et motivation intrinsèque : résultats d’une étude empirique“. Articles 69, Nr. 4 (21.01.2015): 709–31. http://dx.doi.org/10.7202/1028109ar.
Der volle Inhalt der Quellede Bonis, Monique, Paul de Boeck und Marie-Odile Lebeaux. „Problèmes méthodologiques posés par la classification des formes de schizophrénie: recherche de corrélations ou de relations d'appartenance?“ Psychiatry and Psychobiology 2, Nr. 3 (01.01.1987): 174–87. http://dx.doi.org/10.1017/s0767399x00004260.
Der volle Inhalt der QuelleMaman Moutari Danjouma, Roumanatou, Maman Maarouhi Inoussa, Boubé Morou, Abdoul-Latif Hamani Noma, Mahaman Hamissou Illo Souley und Yacoubou Bakasso. „Diversité Floristique de la Végétation de la Zone Centrale de l’Habitat des Girafes du Niger, Afrique de l’Ouest“. European Scientific Journal, ESJ 20, Nr. 12 (29.04.2024): 96. http://dx.doi.org/10.19044/esj.2024.v20n12p96.
Der volle Inhalt der QuelleTourigny, Marc, Nico Trocmé, Sonia Hélie und Marie-Claude Larivée. „Facteurs associés à la décision de recourir au Tribunal de la jeunesse lors de l’orientation des mesures de prise en charge1“. Criminologie 39, Nr. 1 (26.06.2006): 129–50. http://dx.doi.org/10.7202/013129ar.
Der volle Inhalt der QuelleLotero, Jorge, Héctor Mauricio Posada und Daniel Valderrama. „La competitividad de los departamentos colombianos desde la perspectiva de la geografía económica“. Lecturas de Economía, Nr. 71 (23.02.2010): 107–40. http://dx.doi.org/10.17533/udea.le.n71a4816.
Der volle Inhalt der QuelleRoure, Lionel. „Les caractéristiques des champions : Déterminants et incidence sur le succès des innovations“. Recherche et Applications en Marketing (French Edition) 15, Nr. 2 (Juni 2000): 3–19. http://dx.doi.org/10.1177/076737010001500201.
Der volle Inhalt der QuelleVaratharajan, Thepikaa, Karen A. Patte, Margaret de Groh, Ying Jiang und Scott T. Leatherdale. „Exploration des différences dans les comportements liés à la consommation de substances chez les jeunes faisant partie de minorités de genre et les jeunes ne faisant pas partie de minorités de genre : analyse transversale de l’étude COMPASS“. Promotion de la santé et prévention des maladies chroniques au Canada 44, Nr. 3 (April 2024): 198–211. http://dx.doi.org/10.24095/hpcdp.44.4.04f.
Der volle Inhalt der QuelleMacho-Stadler, Inés, und J. David Pérez-Castrillo. „Double risque moral et délégation“. Recherches économiques de Louvain 57, Nr. 3 (1991): 277–96. http://dx.doi.org/10.1017/s0770451800031766.
Der volle Inhalt der QuelleDissertationen zum Thema "Variables hiérarchiques"
Szafranski, Marie. „Pénalités hiérarchiques pour l'intégration de connaissances dans les modèles statistiques“. Compiègne, 2008. http://www.theses.fr/2008COMP1770.
Der volle Inhalt der QuelleSupervised learning aims at predicting, but also analyzing or interpreting an observed phenomenon. Hierarchical penalization is a generic framework for integrating prior information in the fitting of statistical models. This prior information represents the relations shared by the characteristics of a given studied problem. In this thesis, the characteristics are organized in a two-levels tree structure, which defines distinct groups. The assumption is that few (groups of) characteristics are involved to discriminate between observations. Thus, for a learning problem, the goal is to identify relevant groups of characteristics, and at the same time, the significant characteristics within these groups. An adaptive penalization formulation is used to extract the significant components of each level. We show that the solution to this problem is equivalent to minimize a problem regularized by a mixed norm. These two approaches have been used to study the convexity and sparseness properties of the method. The latter is derived in parametric and non parametric function spaces. Experiences on brain-computer interfaces problems support our approach
Doan, Nath-Quang. „Modèles hiérarchiques et topologiques pour le clustering et la visualisation des données“. Paris 13, 2013. http://scbd-sto.univ-paris13.fr/secure/edgalilee_th_2013_doan.pdf.
Der volle Inhalt der QuelleThis thesis focuses on clustering approaches inspired from topological models and an autonomous hierarchical clustering method. The clustering problem becomes more complicated and difficult due to the growth in quality and quantify of structured data such as graphs, trees or sequences. In this thesis, we are particularly interested in self-organizing maps which have been generally used for learning topological preservation, clustering, vector quantization and graph visualization. Our studyconcerns also a hierarchical clustering method AntTree which models the ability of real ants to build structure by connect themselves. By combining the topological map with the self-assembly rules inspired from AntTree, the goal is to represent data in a hierarchical and topological structure providing more insight data information. The advantage is to visualize the clustering results as multiple hierarchical trees and a topological network. In this report, we present three new models that are able to address clustering, visualization and feature selection problems. In the first model, our study shows the interest in the use of hierarchical and topological structure through several applications on numerical datasets, as well as structured datasets e. G. Graphs and biological dataset. The second model consists of a flexible and growing structure which does not impose the strict network-topology preservation rules. Using statistical characteristics provided by hierarchical trees, it accelerates significantly the learning process. The third model addresses particularly the issue of unsupervised feature selection. The idea is to use hierarchical structure provided by AntTree to discover automatically local data structure and local neighbors. By using the tree topology, we propose a new score for feature selection by constraining the Laplacian score. Finally, this thesis offers several perspectives for future work
Szafranski, Marie. „Pénalités hiérarchiques pour l'ntégration de connaissances dans les modèles statistiques“. Phd thesis, Université de Technologie de Compiègne, 2008. http://tel.archives-ouvertes.fr/tel-00369025.
Der volle Inhalt der QuelleGuin, Ophélie. „Méthodes bayésiennes semi-paramétriques d'extraction et de sélection de variables dans le cadre de la dendroclimatologie“. Phd thesis, Université Paris Sud - Paris XI, 2011. http://tel.archives-ouvertes.fr/tel-00636704.
Der volle Inhalt der QuelleSaves, Paul. „High dimensional multidisciplinary design optimization for eco-design aircraft“. Electronic Thesis or Diss., Toulouse, ISAE, 2024. http://www.theses.fr/2024ESAE0002.
Der volle Inhalt der QuelleNowadays, there has been significant and growing interest in improving the efficiency of vehicle design processes through the development of tools and techniques in the field of multidisciplinary design optimization (MDO). In fact, when optimizing both the aerodynamics and structures, one needs to consider the effect of the aerodynamic shape variables and structural sizing variables on the weight which also affects the fuel consumption. MDO arises as a powerful tool that can perform this trade-off automatically. The objective of the Ph. D project is to propose an efficient approach for solving an aero-structural wing optimization process at the conceptual design level. The latter is formulated as a constrained optimization problem that involves a large number of design variables (typically 700 variables). The targeted optimization approach is based on a sequential enrichment (typically efficient global optimization (EGO)), using an adaptive surrogate model. Kriging surrogate models are one of the most widely used in engineering problems to substitute time-consuming high fidelity models. EGO is a heuristic method, designed for the solution of global optimization problems that has performed well in terms of quality of the solution computed. However, like any other method for global optimization, EGO suffers from the curse of dimensionality, meaning that its performance is satisfactory on lower dimensional problems, but deteriorates as the dimensionality of the optimization search space increases. For realistic aircraft wing design problems, the typical size of the design variables exceeds 700 and, thus, trying to solve directly the problems using EGO is ruled out. In practical test cases, high dimensional MDO problems may possess a lower intrinsic dimensionality, which can be exploited for optimization. In this context, a feature mapping can then be used to map the original high dimensional design variable onto a sufficiently small design space. Most of the existing approaches in the literature use random linear mapping to reduce the dimension, sometimes active learning is used to build this linear embedding. Generalizations to non-linear subspaces are also proposed using the so-called variational autoencoder. For instance, a composition of Gaussian processes (GP), referred as deep GP, can be very useful. In this PhD thesis, we will investigate efficient parameterization tools to significantly reduce the number of design variables by using active learning technics. An extension of the method could be also proposed to handle mixed continuous and categorical inputs using some previous works on low dimensional problems. Practical implementations within the OpenMDAO framework (an open source MDO framework developed by NASA) are expected
El, Maliki Abderrahman. „Résolution de problèmes aux limites à l'aide de méthodes itératives hiérarchiques à préconditionneur variable“. Thesis, Université Laval, 2007. http://www.theses.ulaval.ca/2007/24692/24692.pdf.
Der volle Inhalt der QuelleLionnet, Cécile. „Une Approche hiérarchique pour l'étude de la variabilité vibro-acoustique basses fréquences dans un habitacle automobile“. Compiègne, 2006. http://www.theses.fr/2006COMP1654.
Der volle Inhalt der QuelleThis work deals with an experimental and numerical hierarchical study of the variability of low frequency interior noise levels in passenger cars. It is focused on booming noise. A terminology is introduced to clearly distinguish between intra variability and inter variability respectively corresponding to a lack of robustness toward environmental conditions and manufacturing process. The principle of the hierarchical approach is to analyse the relationship between noise variability (level 1) and the variability of the systems (level 2), here the engine, the engine mounting system and the body. The experimental results show that, for the type of vehicle under study, the intra variability level has the same order of magnitude as the inter variability one: intra variability is of great importance toward the structural acoustic robustness of vehicles. The engine excitations variability levels are negligible, whereas the behaviour of both the engine mounting system and the body respectively show a moderate and high level of variability. The probabilistic numerical study has been carried out using Monte Carlo simulations applied to a noise synthesis model. The propagation of variability between level 1 and level 2 has been underlined on simplified examples. A first attempt of validation of booming noise inter variability is illustrated on an industrial case. An approximate analytical sensitivity analysis is shown and compared to finite difference approximations combined with Monte Carlo simulations
Chastaing, Gaëlle. „Indices de Sobol généralisés par variables dépendantes“. Thesis, Grenoble, 2013. http://www.theses.fr/2013GRENM046.
Der volle Inhalt der QuelleA mathematical model aims at characterizing a complex system or process that is too expensive to experiment. However, in this model, often strongly non linear, input parameters can be affected by a large uncertainty including errors of measurement of lack of information. Global sensitivity analysis is a stochastic approach whose objective is to identify and to rank the input variables that drive the uncertainty of the model output. Through this analysis, it is then possible to reduce the model dimension and the variation in the output of the model. To reach this objective, the Sobol indices are commonly used. Based on the functional ANOVA decomposition of the output, also called Hoeffding decomposition, they stand on the assumption that the incomes are independent. Our contribution is on the extension of Sobol indices for models with non independent inputs. In one hand, we propose a generalized functional decomposition, where its components is subject to specific orthogonal constraints. This decomposition leads to the definition of generalized sensitivity indices able to quantify the dependent inputs' contribution to the model variability. On the other hand, we propose two numerical methods to estimate these constructed indices. The first one is well-fitted to models with independent pairs of dependent input variables. The method is performed by solving linear system involving suitable projection operators. The second method can be applied to more general models. It relies on the recursive construction of functional systems satisfying the orthogonality properties of summands of the generalized decomposition. In parallel, we illustrate the two methods on numerical examples to test the efficiency of the techniques
Daviet, Hélène. „Class-Add, une procédure de sélection de variables basée sur une troncature k-additive de l'information mutuelle et sur une classification ascendante hiérarchique en pré-traitement“. Phd thesis, Université de Nantes, 2009. http://tel.archives-ouvertes.fr/tel-00481931.
Der volle Inhalt der QuelleLoingeville, Florence. „Modèle linéaire généralisé hiérarchique Gamma-Poisson pour le contrôle de qualité en microbiologie“. Thesis, Lille 1, 2016. http://www.theses.fr/2016LIL10005/document.
Der volle Inhalt der QuelleIn this thesis, we propose an analysis of variance method for discrete data from quality control in microbiology. To identify the issues of this work, we start by studying the analysis of variance method currently used in microbiology, its benefits, drawbacks, and limits. We propose a first model to respond the problem, corresponding to a linear model with two nested fixed factors. We use the analyse of deviance method to develop significance tests, that proved to be efficient on data sets of proficiency testings in microbiology. We then introduce a new model involving random factors. The randomness of the factors allow to assess and to caracterize the overdispersion observed in results of counts from proficiency testings in microbiology, that is one of the main objectives of this work. The new model corresponds to a Gamma-Poisson Hierarchical Generalized Linear Model with three random factors. We propose a method based on this model to estimate dispersion parameters, fixed, and random effects. We show practical applications of this method to data sets of proficiency testings in microbiology, that prove the goodness of fit of the model to real data. We also develop significance tests of the random factors from this new model, and a new method to assess the performance of the laboratories taking part in a proficiency testing. We finally introduce a near-exact distribution for the product of independent generalized Gamma random variables, in order to characterize the intensity of the Poisson distribution of the model. This approximation, developped from a factorization of the characteristic function, is very precise and can be used to detect outliers