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Статті в журналах з теми "Recommandation à grande échelle"
Vognan, Gaspard, and Michel Fok. "Performance différenciée du coton Bt en début de diffusion : cas du Burkina Faso." Cahiers Agricultures 28 (2019): 26. http://dx.doi.org/10.1051/cagri/2019026.
Повний текст джерелаRaine, Kim D., Kayla Atkey, Dana Lee Olstad, Alexa R. Ferdinands, Dominique Beaulieu, Susan Buhler, Norm Campbell, et al. "Approvisionnement en aliments sains et normes nutritionnelles dans les établissements publics : synthèse des données probantes et recommandations stratégiques consensuelles." Promotion de la santé et prévention des maladies chroniques au Canada 38, no. 1 (January 2018): 7–20. http://dx.doi.org/10.24095/hpcdp.38.1.03f.
Повний текст джерелаMarks, Raissa, and Michael Toye. "Community Economic Development – A Viable Solution for COVID Recovery." Canadian Journal of Nonprofit and Social Economy Research 11, no. 2 (December 17, 2020): 4. http://dx.doi.org/10.29173/cjnser.2020v11n2a397.
Повний текст джерелаBellarmin, WABENGA BASILWANGO. "APPORT DES TECHNIQUES CULTURALES DANS L’AMÉLIORATION DES PLANTES VIVRIÈRES SOUS L’APPROCHE ÉCOCLIMATIQUE ; CAS DE LA VARIÉTÉ PNAP DE POMME DE TERRE (SOLANUM TUBEROSUM L.) À GOMA AU KIVU." IJRDO-Journal of Agriculture and Research (ISSN: 2455-7668) 9, no. 4 (April 10, 2023): 11–20. http://dx.doi.org/10.53555/ar.v9i4.5645.
Повний текст джерелаBernard, Pierre-François. "Où est passée la grande échelle ?" Pour 228, no. 4 (2015): 225. http://dx.doi.org/10.3917/pour.228.0225.
Повний текст джерелаClerc, Denis. "Italie : une flexibilité à grande échelle." Alternatives Économiques 240, no. 10 (October 1, 2005): 63. http://dx.doi.org/10.3917/ae.240.0063.
Повний текст джерелаBertheau, Philippe, Thomas Denize, Julien Calvani, Charlotte Gardair, Anthony Jacquier, Joëlle Razafimahefa, Caroline Eymerit-Morin, et al. "Pédagogie à grande échelle en ACP." Annales de Pathologie 39, no. 2 (April 2019): 144–50. http://dx.doi.org/10.1016/j.annpat.2018.12.009.
Повний текст джерелаBalavoine, Michael. "Les inégalités tuent à grande échelle." Revue Médicale Suisse 4, no. 173 (2008): 2125b. http://dx.doi.org/10.53738/revmed.2008.4.173.2125b.
Повний текст джерелаBurnod, Perrine, Hermine Papazian, Amandine Adamczewski, Pierre-Marie Bosc, Jean-Philippe Tonneau, and Jean-Yves Jamin. "Régulations des investissements agricoles à grande échelle." Afrique contemporaine 237, no. 1 (2011): 111. http://dx.doi.org/10.3917/afco.237.0111.
Повний текст джерелаvan der Beek, Kees. "Supraconducteurs : la mécanique quantique à grande échelle." Reflets de la physique, no. 27 (December 2011): 6–11. http://dx.doi.org/10.1051/refdp/201127006.
Повний текст джерелаДисертації з теми "Recommandation à grande échelle"
Moin, Afshin. "Les techniques de recommandation et de visualisation pour les données à une grande échelle." Rennes 1, 2012. https://tel.archives-ouvertes.fr/tel-00724121.
Повний текст джерелаNous avons assisté au développement rapide de la technologie de l'information au cours de la dernière décennie. D'une part, la capacité du traitement et du stockage des appareils numériques est en constante augmentation grâce aux progrès des méthodes de construction. D'autre part, l'interaction entre ces dispositifs puissants a été rendue possible grâce à la technologie de réseautage. Une conséquence naturelle de ces progrès, est que le volume des données générées dans différentes applications a grandi à un rythme sans précédent. Désormais, nous sommes confrontés à de nouveaux défis pour traiter et représenter efficacement la masse énorme de données à notre disposition. Cette thèse est centrée autour des deux axes de recommandation du contenu pertinent et de sa visualisation correcte. Le rôle des systèmes de recommandation est d'aider les utilisateurs dans le processus de prise de décision pour trouver des articles avec un contenu pertinent et une qualité satisfaisante au sein du vaste ensemble des possibilités existant dans le Web. D'autre part, la représentation correcte des données traitées est un élément central à la fois pour accroître l’utilité des données pour l'utilisateur final et pour la conception des outils d'analyse efficaces. Dans cet exposé, les principales approches des systèmes de recommandation ainsi que les techniques les plus importantes de la visualisation des données sous forme de graphes sont discutées. En outre, il est montré comment quelques-unes des mêmes techniques appliquées aux systèmes de recommandation peuvent être modifiées pour tenir compte des exigences de visualisation
Draidi, Fady. "Recommandation Pair-à-Pair pour Communautés en Ligne à Grande Echelle." Phd thesis, Université Montpellier II - Sciences et Techniques du Languedoc, 2012. http://tel.archives-ouvertes.fr/tel-00766963.
Повний текст джерелаSakhi, Otmane. "Offline Contextual Bandit : Theory and Large Scale Applications." Electronic Thesis or Diss., Institut polytechnique de Paris, 2023. http://www.theses.fr/2023IPPAG011.
Повний текст джерелаThis thesis presents contributions to the problem of learning from logged interactions using the offline contextual bandit framework. We are interested in two related topics: (1) offline policy learning with performance certificates, and (2) fast and efficient policy learning applied to large scale, real world recommendation. For (1), we first leverage results from the distributionally robust optimisation framework to construct asymptotic, variance-sensitive bounds to evaluate policies' performances. These bounds lead to new, more practical learning objectives thanks to their composite nature and straightforward calibration. We then analyse the problem from the PAC-Bayesian perspective, and provide tighter, non-asymptotic bounds on the performance of policies. Our results motivate new strategies, that offer performance certificates before deploying the policies online. The newly derived strategies rely on composite learning objectives that do not require additional tuning. For (2), we first propose a hierarchical Bayesian model, that combines different signals, to efficiently estimate the quality of recommendation. We provide proper computational tools to scale the inference to real world problems, and demonstrate empirically the benefits of the approach in multiple scenarios. We then address the question of accelerating common policy optimisation approaches, particularly focusing on recommendation problems with catalogues of millions of items. We derive optimisation routines, based on new gradient approximations, computed in logarithmic time with respect to the catalogue size. Our approach improves on common, linear time gradient computations, yielding fast optimisation with no loss on the quality of the learned policies
Griesner, Jean-Benoit. "Systèmes de recommandation de POI à large échelle." Electronic Thesis or Diss., Paris, ENST, 2018. http://www.theses.fr/2018ENST0037.
Повний текст джерелаThe task of points-of-interest (POI) recommendations has become an essential feature in location-based social networks. However it remains a challenging problem because of specific constraints of these networks. In this thesis I investigate new approaches to solve the personalized POI recommendation problem. Three main contributions are proposed in this work. The first contribution is a new matrix factorization model that integrates geographical and temporal influences. This model is based on a specific processing of geographical data. The second contribution is an innovative solution against the implicit feedback problem. This problem corresponds to the difficulty to distinguish among unvisited POI the actual "unknown" from the "negative" ones. Finally the third contribution of this thesis is a new method to generate recommendations with large-scale datasets. In this approach I propose to combine a new geographical clustering algorithm with users’ implicit social influences in order to define local and global mobility scales
Gueye, Modou. "Gestion de données de recommandation à très large échelle." Electronic Thesis or Diss., Paris, ENST, 2014. http://www.theses.fr/2014ENST0083.
Повний текст джерелаIn this thesis, we address the scalability problem of recommender systems. We propose accu rate and scalable algorithms. We first consider the case of matrix factorization techniques in a dynamic context, where new ratings..are continuously produced. ln such case, it is not possible to have an up to date model, due to the incompressible time needed to compute it. This happens even if a distributed technique is used for matrix factorization. At least, the ratings produced during the model computation will be missing. Our solution reduces the loss of the quality of the recommendations over time, by introducing some stable biases which track users' behavior deviation. These biases are continuously updated with the new ratings, in order to maintain the quality of recommendations at a high leve for a longer time. We also consider the context of online social networks and tag recommendation. We propose an algorithm that takes account of the popularity of the tags and the opinions of the users' neighborhood. But, unlike common nearest neighbors' approaches, our algorithm doe not rely on a fixed number of neighbors when computing a recommendation. We use a heuristic that bounds the network traversai in a way that allows to faster compute the recommendations while preserving the quality of the recommendations. Finally, we propose a novel approach that improves the accuracy of the recommendations for top-k algorithms. Instead of a fixed list size, we adjust the number of items to recommend in a way that optimizes the likelihood that ail the recommended items will be chosen by the user, and find the best candidate sub-list to recommend to the user
Tauvel, Claire. "Optimisation stochastique à grande échelle." Phd thesis, Grenoble 1, 2008. http://www.theses.fr/2008GRE10305.
Повний текст джерелаIn this thesis we study iterative algorithms in order to solve constrained and unconstrained convex optimization problems, variational inequalities with monotone operators and saddle point problems. We study these problems when the dimension of the search space is high and when the values of the functions of interest are unknown and we just can deal with a stochastic oracle. The algorithms we study are stochastic adaptation of two algorithms : the first one is a variant of the mirror descent algorithm proposed by Nemirovski and Yudin and the second one a variant of the dual extrapolation algorithm by Nesterov. For both of them, we provide bounds for the expected value and bounds for moderate deviations of the approximation error with different regularity hypothesis for all the unconstrained problems we study and we propose adaptative versions of the algorithms in order to get rid of the knowledge of some parameters depending on the problem studied and unavailable in practice. At last we show how to solve constrained stochastic optimization problems thanks to an auxiliary algorithm inspired by the Newton descent one and thanks to the results we obtained for the saddle point problems
Tauvel, Claire. "Optimisation stochastique à grande échelle." Phd thesis, Université Joseph Fourier (Grenoble), 2008. http://tel.archives-ouvertes.fr/tel-00364777.
Повний текст джерелаBleuse, Raphaël. "Appréhender l'hétérogénéité à (très) grande échelle." Thesis, Université Grenoble Alpes (ComUE), 2017. http://www.theses.fr/2017GREAM053/document.
Повний текст джерелаThe demand for computation power is steadily increasing, driven by the need tosimulate more and more complex phenomena with an increasing amount ofconsumed/produced data.To meet this demand, the High Performance Computing platforms grow in both sizeand heterogeneity.Indeed, heterogeneity allows splitting problems for a more efficient resolutionof sub-problems with ad hoc hardware or algorithms.This heterogeneity arises in the platforms' architecture and in the variety ofprocessed applications.Consequently, the performances become more sensitive to the execution context.We study in this thesis how to qualitatively bring—at a reasonablecost—context-awareness/obliviousness into allocation and scheduling policies.This study is conducted from two standpoints: within single applications, andat the whole platform scale from an inter-applications perspective.We first study the minimization of the makespan of sequential tasks onplatforms with a mixed architecture composed of multiple CPUs and GPUs.We integrate context-awareness into schedulers with an affinity mechanism thatimproves local behavior.This mechanism has been implemented in a parallel run-time, and experimentsshow that it is able to reduce the memory transfers while maintaining a lowmakespan.We then extend the model to implicitly consider parallelism on the CPUs withthe moldable-task model.We propose an efficient algorithm formulated as an integer linear program witha constant performance guarantee of 3/2+ε.Second, we devise a new modeling framework where constraints are a first-classtool.Rather than extending existing models to consider all possible interactions, wereduce the set of feasible schedules by further constraining existing models.We propose a set of reasonable constraints to model application spreading andI/O traffic.We then instantiate this framework for unidimensional topologies, and propose acomprehensive case study of the makespan minimization under convex and localconstraints
Cameron, Alexandre. "Effets de grande échelle en turbulence." Thesis, Paris Sciences et Lettres (ComUE), 2017. http://www.theses.fr/2017PSLEE029/document.
Повний текст джерелаThis manuscript describes how solutions of the Navier-Stokes equations behave in the large scales when forced in the small scales. It analyzes also the large scale behavior of magnetic fields solution of the kinetic induction equation when the velocity is in the small scales. The results were acquired with direct numeric simulation (DNS) using pseudo-spectral algorithms of the equations as well as their Floquet development. In the hydrodynamical case, the Floquet DNS were able to confirm the results of the AKA effect at low Reynolds number and extend them for Reynolds number of order one. The DNS were also used to study AKA-stable flows and identified a new instability that can be interpreted as a negative viscosity effect. In the magnetic case, the alpha effect is observe for a range of scale separation exceed know results by several orders of magnitude. It is also shown that the growth rate of the instability becomes independent of the scale separation once the magnetic field is destabilized in its small scales. The energy spectrum and the correlation time of absolute equilibrium solution of the truncated Euler equation are presented. A new regime where the correlation time is governed by helicity is exhibited. These results are also compared with those coming from large scale modes of solutions of the Navier-Stokes equation forced in the small scales. They show that the correlation time increases with the helicity of the flow
Touré, Mahamadou Abdoulaye. "Administration d'applications réparties à grande échelle." Electronic Thesis or Diss., Toulouse, INPT, 2010. http://www.theses.fr/2010INPT0039.
Повний текст джерелаAdministration of distributed systems is a task increasingly complex and expensive. It consists in to carry out two main activities : deployment and management of application in the process of running. The activity of the deployment is subdivided into several activities : description of hardware and software, conguration, installation and starting the application. This thesis work focuses on large-scale administration which consists to deploy and manage a distributed legacy application composed of several thousands of software entities on physical infrastructure grid made up of hundreds or thousands of machines. The administration of this type of infrastructure creates many problems of expressiveness, performance, heterogeneity and dynamicity (breakdown of machine, network, ...). These problems are generally caused to the scale and geographical distribution of the sites (set of clusters). This thesis contributes to resolve the problems previously cited. Therefore, we propose higher-level descriptions formalisms to describe the structure of hardware and software infrastructures. To reduce the load and increase the performance of the administration, we propose to distribute the deployment system in a hierarchical way in order to distribute the load. The work of this thesis comes the scope of the TUNe (autonomic management system) project. Therefore, we propose to hierarchize TUNe in order to adapt in the context of large-scale administration. We showhow to describe the hierarchy of systems. We also show how to take into account the specicity of the hardware infrastructure at the time of deployment notably the topology, characteristics and types of machine. We dene a process langage allowing to describe the process installation which allow managers to dene thier own installation constraints, according to their needs and preferences. We explore the management of heterogeneity during deployment. Finaly our prototype is validated by an implementation and in the context of a real experimentation
Книги з теми "Recommandation à grande échelle"
Concevoir à grande échelle. Paris]: Éditions B42, 2018.
Знайти повний текст джерелаArchitecture et grande échelle: Du Massif central au Bosphore. Genève: Métis Presses, 2012.
Знайти повний текст джерелаL'enjeu capital(es): Les métropoles de la grande échelle = Large-scale metropolises. Paris: Centre Pompidou, 2009.
Знайти повний текст джерелаBooks, Time-Life, ed. Histoires de puces. Amsterdam: Editions Time-Life, 1989.
Знайти повний текст джерелаChwastowski, Janusz, and Krzysztof Korcyl. Wybrane zagadnienia technologii obliczeń wielkiej skali: Selected topics on large scale computing = Sujets sélectionnés sur l'informatique a grande échelle. Kraków: Wydawnictwo PK, 2013.
Знайти повний текст джерелаArts of VLSI circuit design: Symmetry approaches toward zero PVT sensitivity. [U.S.]: Xlibris Corporation, 2011.
Знайти повний текст джерелаLowell, Kim. Nouvelle méthode pour estimer le volume local à partir de photographies à grande échelle et de données de terrain, projet #3054. Sainte-Foy, Qué: Service canadien des forêts, Région du Québec, 1997.
Знайти повний текст джерелаAnthony, Fairall, and Woudt P. A. 1970-, eds. Nearby large-scale structures and the zone of avoidance: Proceedings of a meeting held in Cape Town, South Africa, 28 March - 2 April 2004. San Francisco, Calif: Astronomical Society of the Pacific, 2005.
Знайти повний текст джерелаJ, Dally William, and MIT Conference on Advanced Research in VLSI (6th : 1990 : Cambridge, Mass.), eds. Advanced research in VLSI: Proceedings of the sixth MIT conference. Cambridge, Mass: MIT Press, 1990.
Знайти повний текст джерелаReghbati, Hassan K. VLSI: Testing and validation techniques. Washington, D.C: IEEE Computer Society Press, 1985.
Знайти повний текст джерелаЧастини книг з теми "Recommandation à grande échelle"
Lallau, Benoît. "Investissements fonciers à grande échelle." In Dictionnaire critique de la RSE, 258–61. Presses universitaires du Septentrion, 2013. http://dx.doi.org/10.4000/books.septentrion.6641.
Повний текст джерела"VI. La répétition à grande échelle." In Studia Artistarum, 193–213. Turnhout: Brepols Publishers, 2007. http://dx.doi.org/10.1484/m.sa-eb.4.00153.
Повний текст джерелаVAN BERKEL, Kees. "StaccatoLab, un modèle de calcul des flots de données à grande échelle." In Systèmes multiprocesseurs sur puce 2, 199–233. ISTE Group, 2023. http://dx.doi.org/10.51926/iste.9022.ch8.
Повний текст джерелаPractical Action. "7. La quête d’inclusion à grande échelle." In Perspectives énergétiques des populations pauvres 2018, 55–64. Practical Action Publishing, 2018. http://dx.doi.org/10.3362/9781780447551.008.
Повний текст джерелаClus-Auby, Christine. "Chapitre VII. Organiser l’aménagement à grande échelle." In La gestion de l’érosion des côtes : l’exemple aquitain, 203–37. Presses Universitaires de Bordeaux, 2003. http://dx.doi.org/10.4000/books.pub.1200.
Повний текст джерелаBOUSQUET, LUC. "PROJETS À GRANDE ÉCHELLE: VERS DE NOUVELLES MÉDIATIONS." In Communication et grands projets, 33–44. Presses de l'Université du Québec, 2013. http://dx.doi.org/10.2307/j.ctv18pgnh3.7.
Повний текст джерела"3 Diversité des climats et variabilité à grande échelle." In Le climat : la Terre et les Hommes, 65–76. EDP Sciences, 2020. http://dx.doi.org/10.1051/978-2-7598-1759-7-006.
Повний текст джерела"3 Diversité des climats et variabilité à grande échelle." In Le climat : la Terre et les Hommes, 65–76. EDP Sciences, 2020. http://dx.doi.org/10.1051/978-2-7598-1759-7.c006.
Повний текст джерелаPAN, Shenle, Mariam LAFKIHI, and Éric BALLOT. "Impact des ICPS sur une logistique globale et interconnectée." In Digitalisation et contrôle des systèmes industriels cyber-physiques, 235–55. ISTE Group, 2023. http://dx.doi.org/10.51926/iste.9085.ch12.
Повний текст джерелаBOUISSET, Christine. "Incendies de forêt à l’heure de l’anthropocène : questions d’échelles." In Les risques et l’anthropocène, 59–79. ISTE Group, 2021. http://dx.doi.org/10.51926/iste.9041.ch2.
Повний текст джерелаЗвіти організацій з теми "Recommandation à grande échelle"
Palmer, Jennifer, and Diane Duclos. Considérations Clés : Surveillance à Base Communautaire dans le Domaine de la Santé Publique. Institute of Development Studies, June 2023. http://dx.doi.org/10.19088/sshap.2023.014.
Повний текст джерелаJacob, Steve, and Sébastien Brousseau. L’IA dans le secteur public : cas d’utilisation et enjeux éthiques. Observatoire international sur les impacts sociétaux de l'IA et du numérique, May 2024. http://dx.doi.org/10.61737/fcxm4981.
Повний текст джерелаMarchildon, Allison, Claire Boine, Andréane Sabourin Laflamme, Dave Anctil, Antoine Boudreau LeBlanc, Sylvain Auclair, Christine Balagué, et al. Un an après l’arrivée de ChatGPT: Réflexions de l’Obvia sur les enjeux et pistes d’action possibles face à l’IA générative. Observatoire international sur les impacts sociétaux de l’intelligence artificielle et du numérique, January 2024. http://dx.doi.org/10.61737/zkwz3721.
Повний текст джерелаDufour, Quentin, David Pontille, and Didier Torny. Contracter à l’heure de la publication en accès ouvert. Une analyse systématique des accords transformants. Ministère de l'enseignement supérieur et de la recherche, April 2021. http://dx.doi.org/10.52949/2.
Повний текст джерела