Literatura académica sobre el tema "Modèles de langue de grande taille"
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Artículos de revistas sobre el tema "Modèles de langue de grande taille"
Simon, Marielle, Catherine Nadon, Christine van Barneveld, Sherry King y Gul Shahzad Sarwar. "Pratiques de pondération des résultats d’enquêtes à grande échelle aux notes scolaires en mathématiques". Mesure et évaluation en éducation 36, n.º 1 (22 de abril de 2014): 1–25. http://dx.doi.org/10.7202/1024463ar.
Texto completoPinel-Alloul, B., A. Mazumber, G. Lacroix y X. Lazzaro. "Les réseaux trophiques lacustres: structure, fonctionnement, interactions et variations spatio-temporelles". Revue des sciences de l'eau 11 (12 de abril de 2005): 163–97. http://dx.doi.org/10.7202/705337ar.
Texto completoSpita, Doina, Dario Pagel y Cynthia-Yaoute Eid. "La formation des professeurs de français : un défi de taille pour la vie associative". Revista Letras Raras 9, n.º 5 (30 de noviembre de 2020): 160. http://dx.doi.org/10.35572/rlr.v9i5.2007.
Texto completoLaffargue, J. P. y P. Malgrange. "Rationalité des comportements et des anticipations dans les blocs réels des modèles macroéconomiques". Recherches économiques de Louvain 53, n.º 3 (septiembre de 1987): 203–22. http://dx.doi.org/10.1017/s0770451800043761.
Texto completoBolduc, Denis, Richard Laferrière y Gino Santarossa. "Modèle d’explication de flux à composantes d’erreurs spatialement corrélées". Articles 69, n.º 3 (23 de marzo de 2009): 193–201. http://dx.doi.org/10.7202/602114ar.
Texto completoBennett, Paul. "The Translation Unit in Human and Machine". Babel. Revue internationale de la traduction / International Journal of Translation 40, n.º 1 (1 de enero de 1994): 12–20. http://dx.doi.org/10.1075/babel.40.1.03ben.
Texto completoCheung, Andrew Kay-fan. "Numbers in Simultaneous Interpreting". FORUM / Revue internationale d’interprétation et de traduction / International Journal of Interpretation and Translation 7, n.º 2 (1 de octubre de 2009): 61–88. http://dx.doi.org/10.1075/forum.7.2.03che.
Texto completoPham Duy Khanh, Khanh, Guillaume Duteurtre, Sylvie Cournut, Samir Messad, Benoît Dedieu y Nathalie Hostiou. "Caractérisation de la diversité et de la durabilité des exploitations laitières familiales au Vietnam : étude de cas en zone périurbaine de Hanoï". Revue d’élevage et de médecine vétérinaire des pays tropicaux 69, n.º 4 (27 de junio de 2017): 131. http://dx.doi.org/10.19182/remvt.31198.
Texto completoSaint-André Utudjian, Éliane. "Processus d’acculturation et problèmes de traduction : le théâtre de Wole Soyinka". TTR : traduction, terminologie, rédaction 6, n.º 2 (16 de marzo de 2007): 79–101. http://dx.doi.org/10.7202/037152ar.
Texto completoDescimon, Robert. "Les barricades de la Fronde parisienne. Une lecture sociologique". Annales. Histoire, Sciences Sociales 45, n.º 2 (abril de 1990): 397–422. http://dx.doi.org/10.3406/ahess.1990.278842.
Texto completoTesis sobre el tema "Modèles de langue de grande taille"
Krzesaj, Michel. "Modélisation et résolution de problèmes d'optimisation non linéaire de grande taille". Lille 1, 1985. http://www.theses.fr/1985LIL10070.
Texto completoZervakis, Georgios. "Enriching large language models with semantic lexicons and analogies". Electronic Thesis or Diss., Université de Lorraine, 2023. http://www.theses.fr/2023LORR0039.
Texto completoRecent advances in deep learning and neural networks have made it possible to address complex natural language processing tasks, which find application in a plethora of real-world problems ranging from smart assistants in mobile devices to the prediction of cancer. Nonetheless, modern systems based on these frameworks exhibit various limitations that may compromise their performance and trustworthiness, render them unfair towards minorities, or subject them to privacy leakage. It is our belief that integrating symbolic knowledge and reasoning into the deep learning framework is a necessary step towards addressing the aforementioned limitations. For example, lexical resources can enrich deep neural networks with semantic or syntactic knowledge, and logical rules can provide learning and reasoning mechanisms. Therefore, the scope of this thesis is to develop and evaluate ways of integrating different types of symbolic knowledge and reasoning into a widely used language model, Bidirectional Encoder Representations from Transformers (BERT). ln a first stage, we consider retrofitting, a simple and popular technique for refining distributional word embeddings based on relations coming from a semantic lexicon. Inspired by this technique, we present two methods for incorporating this knowledge into BERT contextualized embeddings. We evaluate these methods on three biomedical datasets for relation extraction and one movie review dataset for sentiment analysis, and show that they do not substantially impact the performance for these tasks. Furthermore, we conduct a qualitative analysis to provide further insights on this negative result. ln a second stage, we integrate analogical reasoning with BERT as a means to improve its performance on the target sense verification task, and make it more robust. To do so, we reformulate target sense verification as an analogy detection task. We present a hybrid model that combines BERT to encode the input data into quadruples and a convolutional neural classifier to decide whether they constitute valid analogies. We test our system on a benchmark dataset, and show that it can outperform existing approaches. Our empirical study shows the importance of the input encoding for BERT, and how this dependence gets alleviated by integrating the axiomatic properties of analogies during training, while preserving performance and improving robustness
Schenkel, Arnaud. "Corrections géométriques et colorimétriques automatisées de modèles 3D de grande taille". Doctoral thesis, Universite Libre de Bruxelles, 2017. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/243331.
Texto completoDoctorat en Sciences de l'ingénieur et technologie
info:eu-repo/semantics/nonPublished
Masson, Gérald. "Synthèse modale robuste adaptée à l'optimisation de modèles de grande taille". Besançon, 2003. http://www.theses.fr/2003BESA2055.
Texto completoUribe, Lobello Ricardo. "Génération de maillages adaptatifs à partir de données volumiques de grande taille". Thesis, Lyon 2, 2013. http://www.theses.fr/2013LYO22024.
Texto completoIn this document, we have been interested in the surface extraction from the volumetric representation of an object. With this objective in mind, we have studied the spatial subdivision surface extraction algorithms. This approaches divide the volume in order to build a piecewise approximation of the surface. The general idea is to combine local and simple approximations to extract a complete representation of the object's surface.The methods based on the Marching Cubes (MC) algorithm have problems to produce good quality and to handle adaptive surfaces. Even if a lot of improvements to MC have been proposed, these approaches solved one or two problems but they don't offer a complete solution to all the MC drawbacks. Dual methods are more adapted to use adaptive sampling over volumes. These methods generate surfaces that are dual to those generated by the Marching Cubes algorithm or dual grids in order to use MC methods. These solutions build adaptive meshes that represent well the features of the object. In addition, recent improvements guarantee that the produced meshes have good geometrical and topological properties.In this dissertation, we have studied the main topological and geometrical properties of volumetric objects. In a first stage, we have explored the state of the art on spatial subdivision surface extraction methods in order to identify theirs advantages, theirs drawbacks and the implications of theirs application on volumetric objects. We have concluded that a dual approach is the best option to obtain a good compromise between mesh quality and geometrical approximation. In a second stage, we have developed a general pipeline for surface extraction based on a combination of dual methods and connected components extraction to better capture the topology and geometry of the original object. In a third stage, we have presented an out-of-core extension of our surface extraction pipeline in order to extract adaptive meshes from huge volumes. Volumes are divided in smaller sub-volumes that are processed independently to produce surface patches that are later combined in an unique and topologically correct surface. This approach can be implemented in parallel to speed up its performance. Test realized in a vast set of volumes have confirmed our results and the features of our solution
Escaig, Yves. "Décomposition de domaines multiniveaux et traitements distribués pour la résolution de problèmes de grande taille". Compiègne, 1992. http://www.theses.fr/1992COMPD539.
Texto completoAllart, Thibault. "Apprentissage statistique sur données longitudinales de grande taille et applications au design des jeux vidéo". Electronic Thesis or Diss., Paris, CNAM, 2017. http://www.theses.fr/2017CNAM1136.
Texto completoThis thesis focuses on longitudinal time to event data possibly large along the following tree axes : number of individuals, observation frequency and number of covariates. We introduce a penalised estimator based on Cox complete likelihood with data driven weights. We introduce proximal optimization algorithms to efficiently fit models coefficients. We have implemented thoses methods in C++ and in the R package coxtv to allow everyone to analyse data sets bigger than RAM; using data streaming and online learning algorithms such that proximal stochastic gradient descent with adaptive learning rates. We illustrate performances on simulations and benchmark with existing models. Finally, we investigate the issue of video game design. We show that using our model on large datasets available in video game industry allows us to bring to light ways of improving the design of studied games. First we have a look at low level covariates, such as equipment choices through time and show that this model allows us to quantify the effect of each game elements, giving to designers ways to improve the game design. Finally, we show that the model can be used to extract more general design recommendations such as dificulty influence on player motivations
Bacaud, Léonard. "Étude des méthodes de faisceaux pour la résolution de problèmes de grande taille issus de la gestion optimisée de la production d'électricité". Paris 1, 2001. http://www.theses.fr/2001PA010036.
Texto completoAllart, Thibault. "Apprentissage statistique sur données longitudinales de grande taille et applications au design des jeux vidéo". Thesis, Paris, CNAM, 2017. http://www.theses.fr/2017CNAM1136/document.
Texto completoThis thesis focuses on longitudinal time to event data possibly large along the following tree axes : number of individuals, observation frequency and number of covariates. We introduce a penalised estimator based on Cox complete likelihood with data driven weights. We introduce proximal optimization algorithms to efficiently fit models coefficients. We have implemented thoses methods in C++ and in the R package coxtv to allow everyone to analyse data sets bigger than RAM; using data streaming and online learning algorithms such that proximal stochastic gradient descent with adaptive learning rates. We illustrate performances on simulations and benchmark with existing models. Finally, we investigate the issue of video game design. We show that using our model on large datasets available in video game industry allows us to bring to light ways of improving the design of studied games. First we have a look at low level covariates, such as equipment choices through time and show that this model allows us to quantify the effect of each game elements, giving to designers ways to improve the game design. Finally, we show that the model can be used to extract more general design recommendations such as dificulty influence on player motivations
Bracka, Pirro. "Une architecture de contrôle de mobilité pour le routage de messages dans un réseau ad hoc de grande taille". Phd thesis, Université de Marne la Vallée, 2005. http://tel.archives-ouvertes.fr/tel-00628700.
Texto completoLibros sobre el tema "Modèles de langue de grande taille"
edition, hassna. Carnet de Croquis Mode Femme Grand Taille: Modèles de Figures Sinueuses (300 Croquis Avec 8 Poses Féminines Différentes Pour l'esquisse de Femmes de Grande Taille. 150 Pages. 8,5 * 11 Pouces. Independently Published, 2022.
Buscar texto completoPochoirs Halloween: 100 Modèles d'Halloween Pour la Peinture et l'artisanat de Citrouille - Petite et Grande Taille - Idées Géniales de Sculpture de Citrouille D'Halloween. Independently Published, 2021.
Buscar texto completoBLACK, Only. Sculpter des Citrouilles Avec les Enfants Pour Halloween: 100 Modèles d'Halloween Pour la Peinture et l'artisanat de Citrouille - Petite et Grande Taille - Idées Géniales de Sculpture de Citrouille D'Halloween. Independently Published, 2021.
Buscar texto completoBérubé, Assia. Mandala Joyeux Noël Cahier à Colorier Adulte Grande Taille - Près de 200 Modèles de Coloriage à débrancher et à décompresser - Convient à Tous les âges - Pages à Colorier Relaxantes - Livres à Colorier Pour le Soulagement du Stress. Independently Published, 2019.
Buscar texto completoCapítulos de libros sobre el tema "Modèles de langue de grande taille"
GAUL, Magnus. "Le projet SPRING pour l'apprentissage de la langue allemande par la musique". En Langues chantées / Cultures mises en musique, 83–90. Editions des archives contemporaines, 2022. http://dx.doi.org/10.17184/eac.5435.
Texto completoKohan, Walter. "Temps d'enfance, temps de seuil". En D'un seuil à l'autre, 23–28. Editions des archives contemporaines, 2017. http://dx.doi.org/10.17184/eac.758.
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