Letteratura scientifica selezionata sul tema "Apprentissage par modèle"
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Articoli di riviste sul tema "Apprentissage par modèle"
Dechemi, N., T. Benkaci e A. Issolah. "Modélisation des débits mensuels par les modèles conceptuels et les systèmes neuro-flous". Revue des sciences de l'eau 16, n. 4 (12 aprile 2005): 407–24. http://dx.doi.org/10.7202/705515ar.
Testo completoQuiers-Valette, Suzanne. "Apprentissage collectif et incitations. Une approche par l'apprentissage gestuel". Revue économique 50, n. 5 (1 settembre 1999): 1029–52. http://dx.doi.org/10.3917/reco.p1999.50n5.1029.
Testo completoMilovanovic, Julie, Daniel Siret, Guillaume Moreau e Francis Miguet. "Écosystème de représentations et apprentissage de la conception". SHS Web of Conferences 47 (2018): 01003. http://dx.doi.org/10.1051/shsconf/20184701003.
Testo completoLebrun, Johanne. "Des objectifs aux compétences : quelles incidences sur les démarches d’enseignement-apprentissage des manuels scolaires en sciences humaines* ?" Revue des sciences de l'éducation 35, n. 2 (16 dicembre 2009): 15–36. http://dx.doi.org/10.7202/038727ar.
Testo completoSauvage Luntadi, Laetitia, e Frédéric Tupin. "La compétence de contextualisation au coeur de la situation d’enseignement-apprentissage". Phronesis 1, n. 1 (7 dicembre 2011): 102–17. http://dx.doi.org/10.7202/1006488ar.
Testo completoGenet-Volet, Yvette, e Pauline Desrosiers. "Programmes d’apprentissage sollicitant des actions de coopération-opposition et transposition didactique". STAPS 16, n. 36 (1995): 29–44. http://dx.doi.org/10.3406/staps.1995.1008.
Testo completoDanion, J., D. Soussi, C. Breque, JP Couderc, D. Oriot, JP Richer e JP Faure. "Enseignement pratique par simulation de chirurgie bariatrique : utilisation du modèle SimLife®". Obésité 14, n. 3 (settembre 2019): 98–102. http://dx.doi.org/10.3166/obe-2019-0072.
Testo completoBlat, Muriel, Jean-Marie Boilevin e Patricia Marzin-Janvier. "Organisation de l’activité de conduite des apprentissages en situation d’enseignement-apprentissage des sciences fondé sur l’investigation". Éducation et didactique 18, n. 2 (2024): 117–46. http://dx.doi.org/10.4000/11xa8.
Testo completoCHARKI, KHALLILE. "A proposed model for assessing performance of Algerian higher education institutions using the Sustainable Balanced Scorecard". Milev Journal of Research and Studies 2, n. 2 (31 dicembre 2016): 139–56. http://dx.doi.org/10.58205/mjrs.v2i2.1190.
Testo completoEl Mansouri, Mériem, e Nicole Biagioli. "La conception de serious games ou jeux vidéo éducatifs : quelles convergences de métier entre enseignant et game designer ?" Recherches en Communication 49 (1 novembre 2019): 31–52. http://dx.doi.org/10.14428/rec.v49i49.52143.
Testo completoTesi sul tema "Apprentissage par modèle"
Liang, Ke. "Oculométrie Numérique Economique : modèle d'apparence et apprentissage par variétés". Thesis, Paris, EPHE, 2015. http://www.theses.fr/2015EPHE3020/document.
Testo completoGaze tracker offers a powerful tool for diverse study fields, in particular eye movement analysis. In this thesis, we present a new appearance-based real-time gaze tracking system with only a remote webcam and without infra-red illumination. Our proposed gaze tracking model has four components: eye localization, eye feature extraction, eye manifold learning and gaze estimation. Our research focuses on the development of methods on each component of the system. Firstly, we propose a hybrid method to localize in real time the eye region in the frames captured by the webcam. The eye can be detected by Active Shape Model and EyeMap in the first frame where eye occurs. Then the eye can be tracked through a stochastic method, particle filter. Secondly, we employ the Center-Symmetric Local Binary Patterns for the detected eye region, which has been divided into blocs, in order to get the eye features. Thirdly, we introduce manifold learning technique, such as Laplacian Eigen-maps, to learn different eye movements by a set of eye images collected. This unsupervised learning helps to construct an automatic and correct calibration phase. In the end, as for the gaze estimation, we propose two models: a semi-supervised Gaussian Process Regression prediction model to estimate the coordinates of eye direction; and a prediction model by spectral clustering to classify different eye movements. Our system with 5-points calibration can not only reduce the run-time cost, but also estimate the gaze accurately. Our experimental results show that our gaze tracking model has less constraints from the hardware settings and it can be applied efficiently in different real-time applications
Israilov, Sardor. "De l'identification basée apprentissage profond à la commande basée modèle". Electronic Thesis or Diss., Université Côte d'Azur, 2024. http://www.theses.fr/2024COAZ4003.
Testo completoFish swimming remains a complex subject that is not yet fully understood due to the inter-section of biology and fluid dynamics. Through years of evolution, organisms in nature have perfected their biological mechanisms to navigate efficiently in their environment and adaptto particular situations. Throughout history, mankind has been inspired by nature to innovateand develop nature-like systems. Biomimetic robotic fish, in particular, has a number of appli-cations in the real world and its control is yet to be optimized. Deep Reinforcement Learning showed excellent results in control of robotic systems, where dynamics is too complex to befully modeled and analyzed. In this thesis, we explored new venues of control of a biomimetic fish via reinforcement learning to effectively maximize the thrust and speed. However, to fully comprehend the newly-emerged data-based algorithms, we first studied the application of these methods on a standard benchmark of a control theory, the inverted pendulum with a cart. We demonstrated that deep Reinforcement Learning could control the system without any prior knowledge of the system, achieving performance comparable to traditional model-based con-trol theory methods. In the third chapter, we focus on the undulatory swimming of a roboticfish, exploring various objectives and information sources for control. Our studies indicate that the thrust force of a robotic fish can be optimized using inputs from both force sensors and cameras as feedback for control. Our findings demonstrate that a square wave control with a particular frequency maximizes the thrust and we rationalize it using Pontryagin Maximum Principle. An appropriate model is established that shows an excellent agreement between simulation and experimental results. Subsequently, we concentrate on the speed maximization of a robotic fish both in several virtual environments and experiments using visual data. Once again, we find that deep Reinforcement Learning can find an excellent swimming gait with a square wave control that maximizes the swimming speed
Goëau, Hervé. "Structuration de collections d'images par apprentissage actif crédibiliste". Phd thesis, Université Joseph Fourier (Grenoble), 2009. http://tel.archives-ouvertes.fr/tel-00410380.
Testo completoGoëau, Hervé. "Structuration de collections d'images par apprentissage actif crédibiliste". Phd thesis, Grenoble 1, 2009. http://www.theses.fr/2009GRE10070.
Testo completoImage annotation is an essential task in professional archives exploitation. Archivsits must describe every image in order to make easier future retrieval tasks. The main difficulties are how to interpret the visual contents, how to bring together images whitch can be associated in same categories, and how to deal with the user's subjectivity. In this thesis, we use the principle of active learning in order to help a user who wants organize with accuracy image collections. From the visual content analysis, complementary active learning strategies are proposed to the user to help him to identify and put together images in relevant categories according to his oppinion. We choose to express this image classification problem with active learning by using the Transferable Belief Model (TBM), an elaboration on the Dempster-Shafer theory of evidence. The TBM allows the combination, the revision and the representation of the knowledge which can be extracted from the visual contents and the previously identified categories. Our method proposed in this theoritical framework gives a detailed modeling of the knowledge by representing explicitly cases of multi-labeling, while quantifying uncertainty (related to the semantic gap) and conflict induced by the analysis of the visual content in different modalities (colors, textures). A human-machine interface was developed in order to validate our approach on reference tests, personal images collections and professional photos from the National Audiovisual Institute. An evaluation was driven with professional users and showed very positive results in terms of utility, of usability and satisfaction
Delcourt, Alexandre. "Amélioration des détecteurs CdZnTe pour l'imagerie gamma par apprentissage". Electronic Thesis or Diss., Université Grenoble Alpes, 2023. http://www.theses.fr/2023GRALM056.
Testo completoSince a few years, the wide spread use of CZT-based detectors in gamma imaging drives their performance optimization to stay competitive at the industrial level. However, the presence of structural defect in the CZT crystal deteriorates the output signals quality and holds back the higher volume detectors development.The purpose of this thesis is the use of optimization and artificial intelligence algorithms using realistic simulations to override the impact of the defects and improve the localization performances of gamma interactions in the detector. We will develop a mathematical-based method in three steps as an alternative to common characterization and correction methods.First, we develop 3D CZT detector simulations enabling to implement defects with different natures to observe their impact on output signals. Then we build a simple neural network, which can be introduced in the electronics to localize the gamma interactions in the detector from simulation results. A second network based on a gradient computation method will allow determining the electric field and collection performance of a detector.The addition of these three steps will be used to learn through simulation the intern parameters of a determined detector such as the electric field. This simulation will serve to train the simple neural network and finally be used on experimental data to improve the localization performance of the detector.The development of this mathematical approach will help us having a better understanding of the intern structure of a CZT crystal being able to reproduce its behavior in simulation. In addition, the better performance of the detector might be sufficient to decrease the radiotracer dose for medical imaging or limit the exposition time of operators in a nuclear power plant
Zhang, Jian. "Modèles de Mobilité de Véhicules par Apprentissage Profond dans les Systèmes de Tranport Intelligents". Thesis, Ecole centrale de Lille, 2018. http://www.theses.fr/2018ECLI0015/document.
Testo completoThe intelligent transportation systems gain great research interests in recent years. Although the realistic traffic simulation plays an important role, it has not received enough attention. This thesis is devoted to studying the traffic simulation in microscopic level, and proposes corresponding vehicular mobility models. Using deep learning methods, these mobility models have been proven with a promising credibility to represent the vehicles in real-world. Firstly, a data-driven neural network based mobility model is proposed. This model comes from real-world trajectory data and allows mimicking local vehicle behaviors. By analyzing the performance of this basic learning based mobility model, we indicate that an improvement is possible and we propose its specification. An HMM is then introduced. The preparation of this integration is necessary, which includes an examination of traditional dynamics based mobility models and the adaptation method of “classical” models to our situation. At last, the enhanced model is presented, and a sophisticated scenario simulation is built with it to validate the theoretical results. The performance of our mobility model is promising and implementation issues have also been discussed
Badets, Arnaud. "Apprentissage moteur par observation d'un sujet modèle : rôles de la connaissance du résultat et de l'intention". Poitiers, 2004. http://www.theses.fr/2004POIT2263.
Testo completoThis thesis focus on the role of observational learning in motor learning and includes four studies on the role of the knowledge of results (KR) and one study on the role of the intention to reproduce the observed behavior. More precisely, the three first studies assess the role of the relative KR frequency during observational learning. Experiments 1 and 2 indicate that a low relative KR frequency (e. G. , 33%) enhances the learning of the parametric components of the task and the ability to detect errors in the model and in the participant own performance. The third experiment shows that a low KR frequency during observation enhances the learning of the invariant components of the task. The fourth experiment shows a positive effect of bandwidth KR during observational learning when compared to a condition that control the KR frequency. Finally, the last experiment indicates that intention to reproduce the observed behavior enhances the learning of the invariant components of the task. Results of those five studies on physical practice and on observation are discussed in light of recent suggestions from behavioral and neurophysiological studies (Shea et al. , 2000; Jeannerod, 2003)
Martinet, Louis-Emmanuel. "Apprentissage spatial et planification de l'action dans un modèle de réseau neuronal inspiré du cortex préfrontal". Phd thesis, Université Pierre et Marie Curie - Paris VI, 2010. http://tel.archives-ouvertes.fr/tel-00646738.
Testo completoRebière, Thérèse. "Apprentissage par l'expérience, formation initiale et recherche d'emploi des salariés". Le Havre, 2009. http://www.theses.fr/2009LEHA0014.
Testo completoThis thesis studies the consequences, on the labor market, of the on-the-job search process of workers, in a matching model capturing workers’ career path. The labor market is hierarchically segmented in two sectors : the low-skill sector, in which workers learn by doing, and the better-paying high-skill sector that workers wish to reach. The addressed topics are the followings : the efficiency of the labor market, a self-financed tax and subsidy policy, the minimum wage effects, educational choices
Brenon, Alexis. "Modèle profond pour le contrôle vocal adaptatif d'un habitat intelligent". Thesis, Université Grenoble Alpes (ComUE), 2017. http://www.theses.fr/2017GREAM057/document.
Testo completoSmart-homes, resulting of the merger of home-automation, ubiquitous computing and artificial intelligence, support inhabitants in their activity of daily living to improve their quality of life.Allowing dependent and aged people to live at home longer, these homes provide a first answer to society problems as the dependency tied to the aging population.In voice controlled home, the home has to answer to user's requests covering a range of automated actions (lights, blinds, multimedia control, etc.).To achieve this, the control system of the home need to be aware of the context in which a request has been done, but also to know user habits and preferences.Thus, the system must be able to aggregate information from a heterogeneous home-automation sensors network and take the (variable) user behavior into account.The development of smart home control systems is hard due to the huge variability regarding the home topology and the user habits.Furthermore, the whole set of contextual information need to be represented in a common space in order to be able to reason about them and make decisions.To address these problems, we propose to develop a system which updates continuously its model to adapt itself to the user and which uses raw data from the sensors through a graphical representation.This new method is particularly interesting because it does not require any prior inference step to extract the context.Thus, our system uses deep reinforcement learning; a convolutional neural network allowing to extract contextual information and reinforcement learning used for decision-making.Then, this memoir presents two systems, a first one only based on reinforcement learning showing limits of this approach against real environment with thousands of possible states.Introduction of deep learning allowed to develop the second one, ARCADES, which gives good performances proving that this approach is relevant and opening many ways to improve it
Libri sul tema "Apprentissage par modèle"
Søren, Brunak, a cura di. Bioinformatics: The machine learning approach. 2a ed. Cambridge, Mass: MIT Press, 2001.
Cerca il testo completoOntario. Esquisse de cours 12e année: Sciences de l'activité physique pse4u cours préuniversitaire. Vanier, Ont: CFORP, 2002.
Cerca il testo completoOntario. Esquisse de cours 12e année: Technologie de l'information en affaires btx4e cours préemploi. Vanier, Ont: CFORP, 2002.
Cerca il testo completoOntario. Esquisse de cours 12e année: Études informatiques ics4m cours préuniversitaire. Vanier, Ont: CFORP, 2002.
Cerca il testo completoOntario. Esquisse de cours 12e année: Mathématiques de la technologie au collège mct4c cours précollégial. Vanier, Ont: CFORP, 2002.
Cerca il testo completoOntario. Esquisse de cours 12e année: Sciences snc4m cours préuniversitaire. Vanier, Ont: CFORP, 2002.
Cerca il testo completoOntario. Esquisse de cours 12e année: English eae4e cours préemploi. Vanier, Ont: CFORP, 2002.
Cerca il testo completoOntario. Esquisse de cours 12e année: Le Canada et le monde: une analyse géographique cgw4u cours préuniversitaire. Vanier, Ont: CFORP, 2002.
Cerca il testo completoOntario. Esquisse de cours 12e année: Environnement et gestion des ressources cgr4e cours préemploi. Vanier, Ont: CFORP, 2002.
Cerca il testo completoOntario. Esquisse de cours 12e année: Histoire de l'Occident et du monde chy4c cours précollégial. Vanier, Ont: CFORP, 2002.
Cerca il testo completoCapitoli di libri sul tema "Apprentissage par modèle"
JACQUEMONT, Mikaël, Thomas VUILLAUME, Alexandre BENOIT, Gilles MAURIN e Patrick LAMBERT. "Analyse d’images Cherenkov monotélescope par apprentissage profond". In Inversion et assimilation de données de télédétection, 303–35. ISTE Group, 2023. http://dx.doi.org/10.51926/iste.9142.ch9.
Testo completoDOUANLA, Adèle. "Enseigner en période de confinement". In Les écoles africaines à l’ère du COVID-19, 291–306. Editions des archives contemporaines, 2024. http://dx.doi.org/10.17184/eac.7936.
Testo completoDRIF, Ahlem, Saad Eddine SELMANI e Hocine CHERIFI. "Réseau interactif et apprentissage automatique pour les recommandations". In Optimisation et apprentissage, 123–51. ISTE Group, 2023. http://dx.doi.org/10.51926/iste.9071.ch5.
Testo completoLemaître, Denis. "Normalisation des pratiques pédagogiques dans l’enseignement supérieur : le modèle des apprentissages par projets et par problèmes". In Les processus de normalisation, 17–32. Presses universitaires de Rennes, 2015. http://dx.doi.org/10.4000/books.pur.63241.
Testo completoSZITA, Szilvia. "Au-delà du glossaire". In Dictionnaires et apprentissage des langues, 65–78. Editions des archives contemporaines, 2021. http://dx.doi.org/10.17184/eac.4504.
Testo completoButera, Fabrizio, Céline Darnon, Céline Buchs e Dominique Muller. "Les méfaits de la compétition : comparaison sociale et focalisation dans l’apprentissage". In Bilans et perspectives en psychologie sociale, 15–44. Presses universitaires de Grenoble, 2006. http://dx.doi.org/10.3917/pug.joule.2006.01.0015.
Testo completoConstant, Magally. "Chapitre 14 : Agir sur le paysage sociolinguistique haïtien : construire des ponts ou ériger une citadelle ?" In Re-penser les politiques linguistiques en Afrique à l’ère de la mondialisation, 339–66. Observatoire européen du plurilinguisme, 2023. http://dx.doi.org/10.3917/oep.bigir.2023.01.0339.
Testo completo